{"id":"W2896727348","doi":"10.1503/cmaj.109-5665","title":"What really happened after Colorado legalized marijuana?","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cannabis; Freedman; State (computer science); Criminology; Political science; Medicine; Law; Computer science; Psychology; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002661224,0.000245816,0.0003878826,0.0009519387,0.02366843,0.007585403,0.001134443,0.009885822,0.0162656],"category_scores_gemma":[0.009994085,0.0004568186,0.0005872012,0.001163126,0.005799614,0.005753969,0.002719291,0.01274419,0.001266089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02605529,"about_ca_system_score_gemma":0.02712853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7723606,"about_ca_topic_score_gemma":0.866833,"domain_scores_codex":[0.996965,0.0005146906,0.00008915777,0.0003868702,0.0006025434,0.001441784],"domain_scores_gemma":[0.9944938,0.0009817489,0.0004729059,0.0001252151,0.002145955,0.001780429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001620437,0.0001147141,0.03955313,0.0002930881,0.00007636967,0.002467213,0.03578015,0.0001248068,0.0005727876,0.03340319,0.8622358,0.02521655],"study_design_scores_gemma":[0.00002655071,0.00008246048,0.04146225,0.0008091543,0.00008336553,0.0009034588,0.1254307,0.0001591975,0.001090896,0.004649089,0.8251383,0.0001645322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06526566,0.007741752,0.0005497937,0.8346917,0.009169996,0.00004600048,0.001031434,0.00006927257,0.08143438],"genre_scores_gemma":[0.4820172,0.01328124,0.0007730197,0.3975927,0.004557515,0.0001267373,0.001698312,0.0002777004,0.09967557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7723606,"threshold_uncertainty_score":0.4579601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008060051559473444,"score_gpt":0.2788524460695864,"score_spread":0.2707923945101129,"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."}}