{"id":"W4225328320","doi":"10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3764","title":"Cannabis Use and Risk of Adverse Respiratory Events: A Population-Based, Data-Linkage Cohort Study","year":2022,"lang":"en","type":"article","venue":"","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Linkage (software); Cohort; Medicine; Adverse effect; Population; Cannabis; Computer science; Internal medicine; Environmental health; Psychiatry; Biology; Gene; Genetics","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":[0.001656956,0.0008063191,0.0008759658,0.0008831148,0.002063477,0.001571091,0.001114381,0.001521886,0.002573892],"category_scores_gemma":[0.002802952,0.001569143,0.001883691,0.001997202,0.0006004319,0.001046587,0.001132143,0.002269123,0.0007690672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008296478,"about_ca_system_score_gemma":0.0013701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0314505,"about_ca_topic_score_gemma":0.03088763,"domain_scores_codex":[0.998587,0.0003880107,0.0001055078,0.0004659868,0.000213998,0.0002395314],"domain_scores_gemma":[0.9979376,0.0002570686,0.0004810746,0.0006459462,0.0003233468,0.0003550095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001716275,0.0005064407,0.9924811,0.00002904039,0.001279579,0.000358015,0.000345469,0.0001039121,0.001385157,0.00007493232,0.0006789094,0.001041223],"study_design_scores_gemma":[0.000342027,0.0004606411,0.9958022,0.00001730844,0.0008282945,0.0006375862,0.0005925318,0.0004994601,0.0001523411,0.00007718186,0.0005581488,0.00003229648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973795,0.0001940038,0.0002816775,0.00006889656,0.00001843339,0.00004208993,0.001670799,0.0000123981,0.0003322043],"genre_scores_gemma":[0.9972491,0.0001646585,0.0003931534,0.00008516981,0.00001792766,0.00007082014,0.001299412,0.0000118136,0.0007078908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0314505,"threshold_uncertainty_score":0.06253487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873120381374313,"score_gpt":0.3263686317805994,"score_spread":0.2876374279668563,"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."}}