{"id":"W6960313406","doi":"10.1371/journal.pdig.0000636.s010","title":"Study outcome distributions by year.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Gradient boosting; Emergency department; Receiver operating characteristic; Risk stratification; Heart failure; Adverse effect; Health care; Risk assessment","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":[],"consensus_categories":[],"category_scores_codex":[0.002320482,0.0005525545,0.001026456,0.002270985,0.0004630935,0.0009540288,0.001128599,0.0008213365,0.0321413],"category_scores_gemma":[0.01000799,0.0002104504,0.001609105,0.003685364,0.0003051435,0.001122847,0.001092563,0.001609671,0.006662352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008550765,"about_ca_system_score_gemma":0.002084289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02868255,"about_ca_topic_score_gemma":0.01699945,"domain_scores_codex":[0.9977022,0.0004668055,0.0003048569,0.0006418857,0.0003718444,0.0005125154],"domain_scores_gemma":[0.9965922,0.000778918,0.001073088,0.0004256777,0.0007525677,0.0003776532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006198857,0.0004289449,0.6541244,0.001922809,0.002028131,0.0004869384,0.0008523131,0.002573014,0.0003789966,0.005141017,0.2525276,0.07333699],"study_design_scores_gemma":[0.001309861,0.001458379,0.7601573,0.001553331,0.001067095,0.001692351,0.002253318,0.007204372,0.0003871378,0.007170774,0.2155498,0.0001961918],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2400356,0.007931933,0.007643065,0.00337619,0.001517976,0.002142824,0.6828319,0.001077045,0.05344347],"genre_scores_gemma":[0.7064741,0.002912299,0.003388866,0.003328756,0.0006376915,0.00580297,0.2478346,0.0003939067,0.02922682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0321413,"threshold_uncertainty_score":0.1075234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384171569627071,"score_gpt":0.2593811608908907,"score_spread":0.20553944519462,"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."}}