{"id":"W4296618331","doi":"10.3410/f.742322986.793595413","title":"Faculty Opinions recommendation of Explainable machine learning analysis reveals sex and gender differences in the phenotypic and neurobiological markers of Cannabis Use Disorder.","year":2022,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Cannabis; Psychology; Phenotype; Clinical psychology; Developmental psychology; Psychotherapist; Genetics; Biology; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.001626503,0.002273835,0.001170569,0.002147659,0.0008990741,0.002377003,0.002546818,0.002423818,0.0881298],"category_scores_gemma":[0.009728568,0.0005031996,0.002073922,0.001971987,0.000446941,0.001145615,0.00189021,0.001752955,0.1027148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009955183,"about_ca_system_score_gemma":0.002110028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024216,"about_ca_topic_score_gemma":0.06089844,"domain_scores_codex":[0.9990234,0.0001880306,0.00007886691,0.0002979729,0.0002576531,0.0001540929],"domain_scores_gemma":[0.9967431,0.001096131,0.0001818351,0.0007712218,0.0008721853,0.0003356128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008978935,0.00003863814,0.001991463,0.0003261438,0.00003984652,0.00002391953,0.00001295726,0.0002101005,0.0001498599,0.0001581991,0.9933547,0.003604493],"study_design_scores_gemma":[0.0006335771,0.00007219828,0.01491649,0.0003844335,0.0001211421,0.0001437629,0.0001014293,0.00257072,0.001048928,0.001851361,0.9780994,0.00005656341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008235649,0.0001566504,0.0002366265,0.0003855611,0.0001684657,0.00003498585,0.9952847,0.001183461,0.001726036],"genre_scores_gemma":[0.001753069,0.00008062112,0.0005863704,0.0001471881,0.00003541338,0.00007395416,0.9948918,0.0001365054,0.002295156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0881298,"threshold_uncertainty_score":0.2948236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06239282212825417,"score_gpt":0.3381750981152529,"score_spread":0.2757822759869987,"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."}}