{"id":"W2774071008","doi":"10.1007/978-981-10-5370-2_15","title":"Analysis of Chronic Disease Processes Based on Cohort and Registry Data","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Censoring (clinical trials); Inference; Computer science; Disease; Cohort; Econometrics; Statistics; Medicine; Artificial intelligence; Mathematics; Pathology","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":[0.009080989,0.001040782,0.001274955,0.002091371,0.0002714583,0.001944845,0.001639708,0.0009549396,0.008363483],"category_scores_gemma":[0.03015284,0.0008101124,0.001596613,0.002296265,0.001442658,0.002994484,0.001192018,0.003926708,0.004387253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048764,"about_ca_system_score_gemma":0.001534507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002595195,"about_ca_topic_score_gemma":0.00305074,"domain_scores_codex":[0.9972625,0.001626107,0.0001448005,0.0003191747,0.0006015316,0.00004587251],"domain_scores_gemma":[0.9678499,0.02993525,0.000440763,0.001064101,0.0006175311,0.00009247211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002259461,0.00003983944,0.00275727,0.0005361615,0.0002763546,0.00009678369,0.0002718617,0.009500904,0.0002556597,0.6426902,0.0863672,0.2571851],"study_design_scores_gemma":[0.000005994539,0.000009283923,0.001281087,0.0001575482,0.00004195851,0.00009790523,0.0000355167,0.016512,0.0001318467,0.9399154,0.04179411,0.00001723878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00140603,0.01446652,0.9573843,0.005656165,0.0009127267,0.00005408266,0.001872758,0.0008201167,0.01742723],"genre_scores_gemma":[0.05514684,0.04635458,0.8489408,0.003233166,0.004165735,0.0005761455,0.004905758,0.001327268,0.03534966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009080989,"threshold_uncertainty_score":0.04802543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1764725160768058,"score_gpt":0.4134356935724406,"score_spread":0.2369631774956348,"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."}}