{"id":"W4391960228","doi":"10.21203/rs.3.rs-3948986/v1","title":"Effective Survival Prediction and Evaluation for Cancer Patients","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Machine Intelligence Institute","keywords":"Cancer; Oncology; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01517115,0.00105743,0.0009907207,0.002142896,0.0004442453,0.001867833,0.001140559,0.001156983,0.002060592],"category_scores_gemma":[0.04642703,0.0001921951,0.0007757158,0.001416395,0.0007174607,0.002173272,0.001141182,0.001208561,0.0003056868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002220949,"about_ca_system_score_gemma":0.001688783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260649,"about_ca_topic_score_gemma":0.00232451,"domain_scores_codex":[0.9933902,0.00374607,0.0005225577,0.0006706134,0.001410868,0.0002596317],"domain_scores_gemma":[0.9633394,0.02730564,0.003000872,0.00169866,0.003553051,0.001102457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001390822,0.0006232949,0.1900101,0.0003795564,0.0005344404,0.0001562715,0.0002321629,0.5908523,0.0007739046,0.006980036,0.0080177,0.2000494],"study_design_scores_gemma":[0.00004656606,0.0009154276,0.01317405,0.00007553639,0.0001148033,0.0001187578,0.0001482088,0.9752436,0.001740935,0.007126587,0.001262749,0.00003283103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7378727,0.00487751,0.2361209,0.006888711,0.000458637,0.0006348478,0.003104971,0.001227408,0.008814229],"genre_scores_gemma":[0.9784957,0.0002603162,0.01917279,0.0001726825,0.00009676261,0.0001019553,0.001244657,0.00002967787,0.0004254513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01517115,"threshold_uncertainty_score":0.08023369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07139961516236011,"score_gpt":0.5135459226389993,"score_spread":0.4421463074766392,"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."}}