{"id":"W2999940497","doi":"10.1111/ecin.12877","title":"LEGALIZATION OF MARIJUANA AND ITS EFFECTS: AN INTRODUCTION","year":2020,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Citation; Curry; Library science; Sentence; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002335736,0.0001289423,0.0003730779,0.0001100761,0.00005027091,0.00003555728,0.0001340381,0.00009580073,0.0002203835],"category_scores_gemma":[0.00008429334,0.0001700042,0.00005295061,0.00005860324,0.00006866158,0.0006742703,0.00005471596,0.00008743392,0.0003885608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000649802,"about_ca_system_score_gemma":0.00001188075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003265028,"about_ca_topic_score_gemma":0.000003841462,"domain_scores_codex":[0.9988195,0.00001683626,0.0005377343,0.0004408791,0.00000811597,0.0001769562],"domain_scores_gemma":[0.9993824,0.00001935248,0.0002883211,0.0001805874,0.000007884124,0.0001214696],"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":[0.00005224667,0.00003389025,0.005821524,0.0001487721,0.00005686265,6.284303e-7,0.001855478,0.0003575241,0.0001990389,0.9806844,0.009913587,0.000876027],"study_design_scores_gemma":[0.004868054,0.001655679,0.1062435,0.0000317761,0.00006315239,0.00002997761,0.0005935708,0.2512013,0.01245956,0.3314845,0.2893283,0.002040576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802149,0.0006694514,0.00107336,0.009314725,0.001826392,0.0002435884,0.00008400976,0.00005492957,0.006518635],"genre_scores_gemma":[0.9959941,0.00004451625,0.0001285297,0.0009063216,0.002788492,0.000008420598,0.00003686935,0.00002403057,0.00006874596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6491999,"threshold_uncertainty_score":0.6932569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04940385601364612,"score_gpt":0.2354257639758375,"score_spread":0.1860219079621914,"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."}}