{"id":"W3024079088","doi":"10.2196/15911","title":"Effect of Health Care Provider Delays on Short-Term Outcomes in Patients With Colorectal Cancer: Multicenter Population-Based Observational Study","year":2020,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Observational study; Hazard ratio; Colorectal cancer; Referral; Proportional hazards model; Internal medicine; Cancer; Cohort study; Cohort; Population; Cancer registry; Affect (linguistics); Survival analysis; Family medicine; Confidence interval; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003105351,0.0003520058,0.0005878872,0.0008973522,0.0004924062,0.0008829774,0.0007353518,0.0008557743,0.001386936],"category_scores_gemma":[0.01168434,0.0004188975,0.00120576,0.002053254,0.0003495116,0.0008936716,0.0009424867,0.001185768,0.0001746491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008596735,"about_ca_system_score_gemma":0.001042842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134585,"about_ca_topic_score_gemma":0.009284591,"domain_scores_codex":[0.9969774,0.001221993,0.0004379961,0.0006780932,0.0003265488,0.0003579767],"domain_scores_gemma":[0.9830604,0.003819486,0.009662321,0.001273866,0.0006772877,0.001506696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002648454,0.00005425076,0.9990709,0.00001148906,0.0001285149,0.00002574265,0.00004366619,0.00003979194,0.00003163456,0.000008353294,0.0000551806,0.0002656706],"study_design_scores_gemma":[0.00004261648,0.0003555042,0.9985203,0.00001338117,0.0001283433,0.0001303127,0.0002240265,0.0003675386,0.00002693562,0.00002013331,0.0001623331,0.000008443719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989133,0.0002729097,0.00007678488,0.00004440401,0.000007058764,0.00001474354,0.0005642196,0.000001868607,0.0001047979],"genre_scores_gemma":[0.9993016,0.00008440745,0.00006192295,0.0000291428,0.00001268409,0.00001731528,0.0004604813,0.000001326378,0.00003123862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134585,"threshold_uncertainty_score":0.02255964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1887752017650779,"score_gpt":0.5221895971176257,"score_spread":0.3334143953525477,"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."}}