{"id":"W2158803120","doi":"10.1198/000313008x298439","title":"Survival Analysis","year":2008,"lang":"en","type":"article","venue":"The American Statistician","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Observational study; Econometrics; Mistake; Proportional hazards model; Estimator; Survival analysis; Psychology; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001295088,0.00008383369,0.0003269915,0.00007362119,0.0001558511,0.000006980139,0.0001048501,0.000007988484,0.0001624995],"category_scores_gemma":[0.00009867788,0.00005510027,0.00009459106,0.001076865,0.0004570591,0.00002183174,0.00002205423,0.0001042572,0.0000858922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004238836,"about_ca_system_score_gemma":0.0000728468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004665972,"about_ca_topic_score_gemma":0.0003416292,"domain_scores_codex":[0.9991205,0.00005533156,0.0001428028,0.0001448284,0.0003219657,0.0002145714],"domain_scores_gemma":[0.9993124,0.0001290229,0.0001024719,0.0002885885,0.00006806918,0.00009941902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005990393,0.00007002598,0.9186898,0.000008207255,0.001613523,0.0008793333,0.001436866,0.0002274684,0.0003577401,0.004007764,0.01724891,0.05486127],"study_design_scores_gemma":[0.0001495667,0.0002062589,0.9942286,0.000004500416,0.0006585315,0.00005800593,0.0008385344,0.0006198271,0.00002938237,0.0001031379,0.00302254,0.00008110273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946492,0.0000894261,0.03603484,0.001211302,0.00005314974,0.0001006973,0.00004320974,0.00005707131,0.01591835],"genre_scores_gemma":[0.9928552,0.00005495628,0.003813341,0.002583842,0.0001154561,0.000005355893,0.00001678884,0.000008071053,0.0005470035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07553875,"threshold_uncertainty_score":0.7053586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038534569474199,"score_gpt":0.377329843071578,"score_spread":0.2734763861241581,"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."}}