{"id":"W6960632750","doi":"10.1371/journal.pone.0300963.s004","title":"S3 Table -","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazard ratio; Cohort; Odds ratio; Odds; Population; Body mass index","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":[0.004100249,0.001950184,0.002620282,0.007481958,0.001788826,0.00394539,0.00294693,0.00161858,0.8917012],"category_scores_gemma":[0.04854427,0.001393504,0.002438019,0.01173061,0.0005717098,0.002793014,0.002076148,0.002337632,0.3415254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520012,"about_ca_system_score_gemma":0.007511484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420813,"about_ca_topic_score_gemma":0.02093684,"domain_scores_codex":[0.9966677,0.0005057919,0.0007968475,0.0007736296,0.0009316672,0.0003243242],"domain_scores_gemma":[0.9565451,0.02550077,0.003471364,0.002557847,0.01062442,0.001300495],"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":[0.0003356689,0.00005691692,0.001475759,0.00740874,0.0001270519,0.00008665487,0.00006615607,0.0004580368,0.0002102656,0.001518931,0.9721376,0.01611833],"study_design_scores_gemma":[0.001374518,0.0001560067,0.008510973,0.005403641,0.0002250799,0.0003358083,0.0004289257,0.0008976755,0.0004819155,0.008964603,0.9731274,0.00009354992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001938927,0.0001536882,0.0005267821,0.0003905669,0.0002053641,0.0003430521,0.993674,0.0005323917,0.003980288],"genre_scores_gemma":[0.003934133,0.0008041942,0.008222609,0.002823267,0.000273153,0.003859304,0.9446446,0.001651319,0.03378733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1082988,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117883590445262,"score_gpt":0.2384869652376984,"score_spread":0.2173081293332458,"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."}}