{"id":"W3124316780","doi":"","title":"Do Medical Marijuana Laws Increase Marijuana Use? Replication Study and Extension","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Confounding; Replicate; Replication (statistics); Psychology; Medicine; Econometrics; Law; Statistics; Mathematics; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04873129,0.001361104,0.001120813,0.001096499,0.001669816,0.001257428,0.003019554,0.001970305,0.003992161],"category_scores_gemma":[0.1298304,0.001278592,0.004235666,0.001245628,0.001845807,0.001895617,0.001686918,0.0027293,0.00114431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051438,"about_ca_system_score_gemma":0.003393284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01962103,"about_ca_topic_score_gemma":0.01260895,"domain_scores_codex":[0.9759276,0.01743688,0.001649246,0.002435629,0.001886821,0.0006638945],"domain_scores_gemma":[0.900054,0.03248585,0.01005311,0.04681087,0.009458102,0.001138047],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01816201,0.01633562,0.8744707,0.002994149,0.007618556,0.001533216,0.008224164,0.001400939,0.004903135,0.002131477,0.008242081,0.05398392],"study_design_scores_gemma":[0.007825375,0.01819947,0.9401957,0.000725047,0.007498738,0.001503523,0.003058475,0.003806127,0.004376708,0.003013218,0.009606758,0.0001908977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738641,0.001730409,0.008849383,0.001098983,0.0004295791,0.00703306,0.003334581,0.0002685357,0.003391422],"genre_scores_gemma":[0.9867136,0.0002588879,0.00626128,0.0006328594,0.00009863973,0.004047879,0.001162942,0.00004561832,0.0007782864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9512687,"threshold_uncertainty_score":0.2577188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072633694030042,"score_gpt":0.3284909101873235,"score_spread":0.3077645732470231,"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."}}