{"id":"W4394288564","doi":"10.6084/m9.figshare.21476958","title":"Dataset - survival analysis","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002195027,0.0003643634,0.0005716887,0.0007269869,0.0001709693,0.0003740523,0.004517218,0.0003637043,0.08385386],"category_scores_gemma":[0.002478401,0.0003642542,0.0002316965,0.002957601,0.000004868887,0.0002048156,0.002423009,0.000990661,0.1280858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007157113,"about_ca_system_score_gemma":0.0002400956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962993,"about_ca_topic_score_gemma":0.00220953,"domain_scores_codex":[0.996973,0.0002962323,0.0003856057,0.00103431,0.0007871867,0.0005237021],"domain_scores_gemma":[0.995275,0.0006831785,0.0003350118,0.003357905,0.0001221553,0.0002267487],"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":[5.498442e-7,0.00001002306,0.000004642271,0.0004566846,0.0001862656,0.0001802159,0.0000071526,0.0001794165,4.17033e-9,0.000002667441,0.9986907,0.0002817012],"study_design_scores_gemma":[0.00004841011,0.00002143596,0.0006436925,0.0002750006,0.00007091526,0.000003022218,0.000001463888,0.004100928,1.16484e-7,0.000008784466,0.9944614,0.0003648636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.911302e-8,0.0000820898,0.00001965638,0.0002922877,0.0004534486,0.0001780935,0.9986361,0.0003103078,0.00002804593],"genre_scores_gemma":[2.046697e-7,0.000009190437,0.0001933466,0.0004177958,0.0003278033,0.0001578417,0.9986242,0.0000228557,0.000246755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04423198,"threshold_uncertainty_score":0.999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07941435934001202,"score_gpt":0.3623214439809334,"score_spread":0.2829070846409213,"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."}}