{"id":"W6885908361","doi":"10.1371/journal.pone.0318365.s002","title":"Patient characteristics.","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Odds ratio; Inclusion and exclusion criteria; Atrial fibrillation; Meta-analysis; Myocardial infarction; Retrospective cohort study; Stroke (engine)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001674883,0.0005647154,0.0009406198,0.002503294,0.0005817306,0.001971267,0.0009761247,0.001206072,0.3749807],"category_scores_gemma":[0.01304072,0.0002401732,0.001421127,0.004421255,0.0002064284,0.001549536,0.001492216,0.001362022,0.1155946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312556,"about_ca_system_score_gemma":0.003057896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003968625,"about_ca_topic_score_gemma":0.004072234,"domain_scores_codex":[0.997675,0.0005923264,0.0005912902,0.000357749,0.0005990549,0.0001845046],"domain_scores_gemma":[0.9955519,0.001354478,0.0007554407,0.0003400732,0.001607311,0.000390858],"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":[0.0007240552,0.0001073008,0.00944715,0.005872862,0.0002167379,0.0001976456,0.000234558,0.0001332854,0.0001174534,0.003851153,0.7123837,0.266714],"study_design_scores_gemma":[0.0002565281,0.0001553577,0.01337741,0.004220397,0.0001266022,0.0005634061,0.0002252151,0.0001569738,0.0001095051,0.003004377,0.9777707,0.00003361086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0108118,0.0439449,0.004409174,0.0209116,0.007051019,0.003224063,0.4683924,0.001906973,0.4393482],"genre_scores_gemma":[0.1080493,0.05977866,0.01470801,0.04315589,0.007124897,0.01342946,0.3701192,0.001824223,0.3818105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3749807,"threshold_uncertainty_score":0.8915141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06335314786213928,"score_gpt":0.3306743284072047,"score_spread":0.2673211805450655,"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."}}