{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002488155,0.002239717,0.001654882,0.003023954,0.0009413304,0.00201027,0.002979347,0.002551282,0.06017823],"category_scores_gemma":[0.01139625,0.0004320391,0.002256967,0.004663378,0.0004236168,0.0010119,0.001507207,0.002390111,0.06921282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437141,"about_ca_system_score_gemma":0.002116985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277074,"about_ca_topic_score_gemma":0.02217469,"domain_scores_codex":[0.9981642,0.0004120257,0.000300007,0.0005919645,0.0003177584,0.0002141381],"domain_scores_gemma":[0.9952963,0.001829087,0.0003200009,0.001003211,0.001292191,0.0002592502],"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":[0.0001739915,0.00005902142,0.003073948,0.0008870785,0.0001181153,0.00004090634,0.00002866537,0.001255122,0.0001604277,0.000508822,0.9867372,0.006956709],"study_design_scores_gemma":[0.0005385356,0.0001027449,0.0158927,0.0005961311,0.0001647552,0.0002092925,0.0001756746,0.002453277,0.0005898103,0.003386819,0.9758065,0.00008386862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004332096,0.00009767073,0.0001912657,0.0001132215,0.00004545811,0.00002829901,0.9982097,0.000401281,0.0004799773],"genre_scores_gemma":[0.001036428,0.00006503554,0.0005856479,0.00007195696,0.00001343502,0.0001805198,0.9974052,0.00007708025,0.0005646164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06017823,"threshold_uncertainty_score":0.2013162,"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."}}