{"id":"W4390419464","doi":"10.2196/49031","title":"Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Pelotonia; Ohio State University","keywords":"Transgender; Lesbian; Context (archaeology); Queer; Sexual minority; Reproductive health; Computer science; Artificial intelligence; Psychology; Medicine; Biology; Population","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09353774,0.002676462,0.002973971,0.01080816,0.001643058,0.005267197,0.0035621,0.003021276,0.003370616],"category_scores_gemma":[0.2565879,0.001321675,0.004194786,0.007072054,0.001564287,0.003490526,0.004459535,0.004428456,0.001039331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004126772,"about_ca_system_score_gemma":0.01057783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00810622,"about_ca_topic_score_gemma":0.007351217,"domain_scores_codex":[0.9521065,0.03500485,0.006293981,0.003712567,0.00250241,0.0003795852],"domain_scores_gemma":[0.5822719,0.3927505,0.006494903,0.007000712,0.01075172,0.0007302552],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001051725,0.0009040321,0.03552001,0.009589649,0.005913947,0.0005826056,0.001440886,0.2709939,0.002043512,0.01292154,0.009733922,0.6493043],"study_design_scores_gemma":[0.0004996156,0.0002440993,0.003292272,0.001731813,0.001053052,0.0001655016,0.0004802985,0.9432695,0.003327004,0.03911594,0.006743483,0.00007746553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0219134,0.003425761,0.960057,0.001930504,0.0001933986,0.004133794,0.002907656,0.004037302,0.001401275],"genre_scores_gemma":[0.08273646,0.0006949392,0.9092516,0.0004470851,0.00005407592,0.004529989,0.002026748,0.0001075778,0.0001515137],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9064623,"threshold_uncertainty_score":0.4946808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4106477145658611,"score_gpt":0.4617374131679725,"score_spread":0.05108969860211138,"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."}}