{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"bae96d550a7b","filters":{"venue":"2003 Annual meeting, July 27-30, Montreal, Canada"}},"results":[{"id":"W3122001280","doi":"","title":"Using Contingent Valuation With Respondent Uncertainty To Estimate The Costs Of Climate Change Programs: An Application To Canadian Landowners","year":2003,"lang":"en","type":"article","venue":"2003 Annual meeting, July 27-30, Montreal, Canada","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria","funders":"","keywords":"Certainty; Respondent; Contingent valuation; Bivariate analysis; Valuation (finance); Econometrics; Preference; Willingness to pay; Economics; Climate change; Actuarial science; Limiting; Willingness to accept; Statistics; Microeconomics; Mathematics; Engineering; Political science; Accounting","authors":[{"name":"Sabina L. Shaikh","is_ca":false},{"name":"G. Cornelis van Kooten","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04802793120196664,"gpt":0.2534531558263132,"spread":0.2054252246243465,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01636451,0.001095278,0.001273106,0.003393597,0.001487584,0.00230675,0.002433769,0.001433444,0.003738678],"category_scores_gemma":[0.0579299,0.0006555404,0.00147104,0.006543966,0.001530193,0.001666984,0.001883361,0.001833033,0.000128781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01166935,"about_ca_system_score_gemma":0.005762751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6014279,"about_ca_topic_score_gemma":0.4702181,"domain_scores_codex":[0.9930474,0.00518764,0.000208303,0.0004351813,0.0007918902,0.0003296183],"domain_scores_gemma":[0.9556758,0.03842495,0.002320206,0.001467332,0.001763027,0.0003486684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004820504,0.0003791159,0.1321647,0.0002709011,0.0007658279,0.0005185056,0.002620654,0.63846,0.0005595222,0.1104998,0.00210069,0.1111783],"study_design_scores_gemma":[0.00004550505,0.00006515387,0.01891126,0.00005535938,0.00006431901,0.00006910993,0.000717973,0.9580757,0.0002350736,0.02062374,0.001053983,0.00008275353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.517978,0.001163104,0.4672676,0.001657275,0.00005255075,0.001062067,0.00156689,0.000259956,0.008992547],"genre_scores_gemma":[0.9052162,0.0004670448,0.09278614,0.00006096524,0.00001975838,0.0003460761,0.0004308819,0.00001439844,0.000658531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3985721,"threshold_uncertainty_score":0.8018387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123185774","doi":"10.22004/ag.econ.15850","title":"DISPATCHES FROM THE TOMATO WARS: SPILLOVER EFFECTS OF TRADE BARRIERS","year":2003,"lang":"en","type":"article","venue":"2003 Annual meeting, July 27-30, Montreal, Canada","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Spillover effect; International trade; International economics; Trade barrier; Free trade agreement; Free trade; Distortion (music); Product (mathematics); Business; International free trade agreement; Economics; Bilateral trade; Political science; China; Engineering","authors":[{"name":"Katherine R. Baylis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008432050032114245,"gpt":0.1644649468454352,"spread":0.156032896813321,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009074563,0.0002379786,0.0004727001,0.0006256701,0.0007316672,0.00249905,0.0002215015,0.0008598792,0.0227659],"category_scores_gemma":[0.007601584,0.0001533935,0.000424041,0.000589984,0.0007312061,0.001261212,0.002392961,0.001430689,0.001110864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055763,"about_ca_system_score_gemma":0.0006536302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010038,"about_ca_topic_score_gemma":0.01093259,"domain_scores_codex":[0.9995087,0.0001479061,0.00003139235,0.000049946,0.0001257429,0.0001363666],"domain_scores_gemma":[0.9965856,0.001214521,0.001389188,0.0002190075,0.000249461,0.0003421897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005334446,0.0009264397,0.3398443,0.0009644103,0.001180901,0.005658192,0.007869773,0.1030712,0.007952263,0.2089773,0.06780323,0.2504177],"study_design_scores_gemma":[0.0008909968,0.001264445,0.5957694,0.0006419807,0.000842152,0.00145019,0.02665466,0.03436607,0.004850099,0.1969265,0.1360483,0.0002952479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683502,0.002529211,0.003855537,0.008486321,0.000209397,0.0001255593,0.001048622,0.00007380718,0.1153213],"genre_scores_gemma":[0.9921151,0.001044209,0.0002070628,0.000539482,0.00007676449,0.00001697639,0.0001978022,0.000008687806,0.005793902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0227659,"threshold_uncertainty_score":0.07615954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}