{"id":"W1966776070","doi":"10.1371/journal.pone.0006483","title":"Development and Validation of a Bedside Score to Predict Early Death in Cancer of Unknown Primary Patients","year":2009,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Cohort; Internal medicine; Logistic regression; Mortality rate; Cohort study; Multivariate analysis","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":[0.003901223,0.0005133773,0.0004333891,0.000820317,0.0002168201,0.0007151943,0.0004822515,0.0004221254,0.001133952],"category_scores_gemma":[0.01057196,0.0001677329,0.0003675682,0.0003968677,0.0003188891,0.0003774831,0.0008178533,0.0006787495,0.0003826361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688209,"about_ca_system_score_gemma":0.0009224152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009050636,"about_ca_topic_score_gemma":0.001113048,"domain_scores_codex":[0.9987577,0.0005940952,0.000113817,0.000126262,0.0003110849,0.00009698678],"domain_scores_gemma":[0.9944195,0.00221038,0.0009088332,0.0004346482,0.001394776,0.0006318199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003958926,0.0002014975,0.9799513,0.00002624886,0.00006020066,0.00005176844,0.00005294441,0.0008071119,0.0007922542,0.00002952297,0.0003834463,0.01724796],"study_design_scores_gemma":[0.0002584384,0.002456787,0.9777352,0.00004562179,0.0001326949,0.0009183262,0.0001053983,0.01484414,0.002400198,0.0001536035,0.0009257357,0.00002395494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9956692,0.0001454314,0.00303668,0.0001004137,0.00001952316,0.0001391104,0.0002747285,0.00003618635,0.0005787782],"genre_scores_gemma":[0.9929885,0.00006435331,0.005538693,0.00004025811,0.00003098848,0.0001005231,0.001074648,0.000007678105,0.0001544034],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003901223,"threshold_uncertainty_score":0.02063191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05183219550616951,"score_gpt":0.2630096756923657,"score_spread":0.2111774801861961,"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."}}