{"id":"W1627262626","doi":"10.1126/science.348.6237.846","title":"Canadian registry to track thousands of pot smokers","year":2015,"lang":"en","type":"article","venue":"Science","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Fast track; Computer science; Environmental science; Medicine; Surgery; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00389863,0.0008236769,0.00125638,0.00702547,0.002877579,0.001836962,0.003206613,0.001229209,0.01589605],"category_scores_gemma":[0.01814472,0.0007617667,0.001387915,0.008416765,0.0004005427,0.001568563,0.001360761,0.002292953,0.004737332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02312007,"about_ca_system_score_gemma":0.06817613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974799,"about_ca_topic_score_gemma":0.9842666,"domain_scores_codex":[0.9965909,0.0002828033,0.0003866603,0.000602798,0.001609224,0.0005276506],"domain_scores_gemma":[0.9634733,0.001465305,0.002395144,0.002371225,0.02707708,0.003217942],"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":[0.0005026916,0.0001588712,0.206618,0.001145381,0.0005472128,0.0001619796,0.0003571638,0.0004169698,0.0006838242,0.003944402,0.7212936,0.06416996],"study_design_scores_gemma":[0.0003927665,0.0001501025,0.4382597,0.001584214,0.0007777567,0.0003815576,0.000795955,0.003419782,0.001603963,0.001801422,0.5505872,0.0002456144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.043259,0.00628527,0.0070354,0.0151192,0.001875629,0.002042071,0.8627487,0.001402572,0.06023223],"genre_scores_gemma":[0.2611434,0.01491004,0.02869193,0.01480582,0.0009631884,0.002425049,0.6179259,0.0007668983,0.05836773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02520102,"threshold_uncertainty_score":0.1677486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503753104058901,"score_gpt":0.3421098934514591,"score_spread":0.3070723624108701,"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."}}