{"id":"W1919681520","doi":"","title":"Identification of Counterfactuals and Payoffs in Dynamic Discrete Choice with an Application to Land Use","year":2015,"lang":"en","type":"preprint","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual conditional; Econometrics; Identification (biology); Economics; Context (archaeology); Nonparametric statistics; Discrete choice; Identifiability; Microeconomics; Mathematical economics; Computer science; Counterfactual thinking","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01731801,0.001060014,0.001810896,0.00195483,0.0007996084,0.003969978,0.001534892,0.001915254,0.005297438],"category_scores_gemma":[0.08985005,0.0008790654,0.002478573,0.001909197,0.003912305,0.005360435,0.003387843,0.004094588,0.0003120274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216409,"about_ca_system_score_gemma":0.001836345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003842456,"about_ca_topic_score_gemma":0.002286998,"domain_scores_codex":[0.9912283,0.006274061,0.0004594646,0.0009823685,0.0007158468,0.0003399727],"domain_scores_gemma":[0.8728328,0.1112497,0.007980459,0.00547426,0.001653644,0.0008092326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001223481,0.0001517554,0.006512877,0.0001475951,0.0001379718,0.0002496829,0.0003347815,0.1520617,0.0002971645,0.8180354,0.0004572112,0.0214916],"study_design_scores_gemma":[0.00003571342,0.00003959374,0.00106578,0.00004548155,0.00002253345,0.00006111981,0.00007890535,0.5188854,0.000342243,0.4783423,0.00105042,0.00003051737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07866281,0.000486291,0.9158676,0.001197559,0.00004331891,0.0001443345,0.0003159782,0.0001149624,0.0031671],"genre_scores_gemma":[0.8216365,0.0008424611,0.171335,0.0001669995,0.0001021055,0.000578779,0.0008421186,0.00007274263,0.00442337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01731801,"threshold_uncertainty_score":0.09158748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0462554779391092,"score_gpt":0.2267457514460015,"score_spread":0.1804902735068923,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}