{"id":"W6961242778","doi":"10.1371/journal.pone.0295921.s001","title":"S1 File -","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohort; Stroke (engine); Logistic regression; Cancer; Cohort study","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":[0.004140835,0.001500954,0.001431425,0.003299534,0.001619459,0.003639512,0.003186368,0.002033629,0.901458],"category_scores_gemma":[0.05921115,0.001229628,0.001116816,0.006000327,0.0006265389,0.003562627,0.002873859,0.001966268,0.4837573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812504,"about_ca_system_score_gemma":0.004755572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139945,"about_ca_topic_score_gemma":0.01296278,"domain_scores_codex":[0.9981323,0.0003158241,0.0002863983,0.0004812082,0.0005281065,0.00025629],"domain_scores_gemma":[0.9688151,0.01958119,0.001270792,0.002700404,0.00634852,0.001284034],"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":[0.000137987,0.00004192968,0.0007733742,0.0007156155,0.00001180384,0.00003044848,0.00004683522,0.0002263055,0.0000628565,0.0007998052,0.9910952,0.006057847],"study_design_scores_gemma":[0.001042155,0.0001220894,0.004565812,0.00153163,0.00003708348,0.0001567352,0.0005063558,0.001134722,0.0006075273,0.007997743,0.982216,0.00008214387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000154754,0.00002440085,0.0004769925,0.0002767475,0.0001167708,0.000168088,0.9939663,0.0008437105,0.003972145],"genre_scores_gemma":[0.003700672,0.0001718008,0.005693631,0.001231858,0.0001254476,0.002498586,0.9631367,0.002468275,0.02097294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09854203,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371884819230803,"score_gpt":0.227821550048762,"score_spread":0.1906330681256817,"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."}}