{"id":"W2967868923","doi":"10.1186/s12888-019-2324-z","title":"Characterization of mental health in cannabis dispensary users, using structured clinical interviews and standardized assessment instruments","year":2019,"lang":"en","type":"article","venue":"BMC Psychiatry","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia","funders":"Mitacs","keywords":"Dispensary; Cannabis; Psychiatry; Mental health; Medicine; Mood; Cannabis Dependence; Anxiety; Population; Mental illness; Depression (economics); Mini-international neuropsychiatric interview; Clinical psychology; Psychology; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007324191,0.0001503003,0.0005825017,0.0002773994,0.00004381519,0.00002038306,0.00008028263,0.00009522781,0.0001694446],"category_scores_gemma":[0.00001298318,0.0001273795,0.0001158856,0.0003184935,0.00007635926,0.0001055954,0.00009313536,0.0002735882,0.000001326559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682612,"about_ca_system_score_gemma":0.001069741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002642627,"about_ca_topic_score_gemma":0.0004914145,"domain_scores_codex":[0.9980788,0.0002126452,0.0007562864,0.000338155,0.0003466152,0.0002674665],"domain_scores_gemma":[0.9992018,0.000002226308,0.0002602917,0.0002984127,0.00005438376,0.0001828775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006555181,0.0002109564,0.9815356,0.0004816919,0.00003638941,2.060611e-7,0.0001627791,5.897903e-7,0.008211651,0.00008277575,0.002469311,0.006152517],"study_design_scores_gemma":[0.005756807,0.0005530846,0.9870702,0.0004261047,0.0000149567,0.00001771254,0.0003646994,0.0008087175,0.0001137492,0.00003538137,0.004726649,0.0001119454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913437,0.0002136892,0.00009516827,0.005742906,0.001136118,0.001228851,0.0001420338,0.00001054764,0.00008698984],"genre_scores_gemma":[0.9945008,0.0004903119,0.003439941,0.0007591679,0.000126092,0.00001151002,0.0002128753,0.0000312719,0.0004280022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008097902,"threshold_uncertainty_score":0.5194386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321627523676866,"score_gpt":0.3954338471996543,"score_spread":0.3622175719628856,"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."}}