{"meta":{"query_hash":"36720a3aafdf","filters":{"venue":"International Choice Modelling Conference 2013"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/36720a3aafdf","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Choice+Modelling+Conference+2013"},"results":[{"id":"W1647946654","doi":"","title":"Comparing forced and unforced choices in a choice experiment: the role of reference dependent preferences","year":2013,"lang":"en","type":"article","venue":"International Choice Modelling Conference 2013","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Respondent; Multinomial logistic regression; Choice set; Two-alternative forced choice; Discrete choice; Set (abstract data type); Econometrics; Economics; Status quo bias; Status quo; Loss aversion; Microeconomics; Mathematics; Computer science; Statistics","score_opus":0.15259522312249157,"score_gpt":0.2516410237214822,"score_spread":0.09904580059899065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1647946654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72790515,0.00062448723,0.2538406,0.0010557988,0.00065033196,0.003564666,0.0007208442,0.0002872582,0.0113507565],"genre_scores_gemma":[0.8276579,0.00037223985,0.15494095,0.00163686,0.00026059616,0.011397472,0.0009408525,0.00016854437,0.0026246654],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.6147052,0.331824,0.013531648,0.013752813,0.02377678,0.0024095797],"domain_scores_gemma":[0.1863042,0.73423487,0.030319482,0.041621923,0.005704005,0.0018155033],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.24366166,0.0017126162,0.0037551748,0.0016037357,0.0016351669,0.007896141,0.0040858164,0.006152709,0.009245404],"category_scores_gemma":[0.52645844,0.0016658423,0.004304431,0.002908231,0.008176676,0.012738727,0.0061061596,0.008362158,0.0012424866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.12761882,0.029930437,0.1070558,0.0057732025,0.010567004,0.0012170721,0.032861564,0.078171186,0.029535731,0.28335688,0.0037922945,0.29011998],"study_design_scores_gemma":[0.014594945,0.042946793,0.13038643,0.001300073,0.002201217,0.0006297922,0.00351093,0.25987175,0.023726467,0.50277376,0.015644362,0.0024135173],"about_ca_topic_score_codex":0.0010446159,"about_ca_topic_score_gemma":0.0008005564,"teacher_disagreement_score":0.24366166,"about_ca_system_score_codex":0.0027724288,"about_ca_system_score_gemma":0.0016592361,"threshold_uncertainty_score":0.9326998},"labels":[],"label_agreement":null},{"id":"W2162236584","doi":"","title":"Choice modelling and environmental valuation: Where have we been, what’s up ahead?","year":2013,"lang":"en","type":"article","venue":"International Choice Modelling Conference 2013","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Valuation (finance); Economics; Actuarial science; Econometrics; Finance","score_opus":0.16183627324859476,"score_gpt":0.24328360060396942,"score_spread":0.08144732735537466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162236584","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019426614,0.19745047,0.44859558,0.25562203,0.0063266996,0.00014815423,0.0016310347,0.00017467493,0.07062482],"genre_scores_gemma":[0.53988624,0.2287356,0.14369825,0.023905547,0.020101262,0.0006730542,0.0019125354,0.00027938336,0.040808152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99637717,0.0025895047,0.00010289312,0.00033900051,0.0004386183,0.00015285658],"domain_scores_gemma":[0.9852593,0.012877977,0.00046897226,0.00033046125,0.0007129666,0.0003503825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058359257,0.00085612293,0.0013440894,0.00077850244,0.00068848144,0.0044001737,0.0011883536,0.003568333,0.013537496],"category_scores_gemma":[0.017194267,0.0004610553,0.0015611724,0.0026734394,0.003634382,0.006680727,0.001312572,0.006024267,0.00148244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000993206,0.000077852135,0.0015450236,0.0007026312,0.00011688205,0.00009383455,0.00041956024,0.015179338,0.00015435215,0.8710052,0.03849472,0.072111316],"study_design_scores_gemma":[0.000014615905,0.000025862348,0.00079617475,0.0004571319,0.000015820737,0.000070881455,0.00017652432,0.013062173,0.000053734697,0.9437843,0.041505076,0.000037690046],"about_ca_topic_score_codex":0.0043483563,"about_ca_topic_score_gemma":0.002888736,"teacher_disagreement_score":0.013537496,"about_ca_system_score_codex":0.0021317159,"about_ca_system_score_gemma":0.0013440512,"threshold_uncertainty_score":0.04528743},"labels":[],"label_agreement":null}]}