{"id":"W87059113","doi":"10.1007/978-94-007-4537-7_5","title":"Etiologic Studies’ Essentials","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Population; Base (topology); Series (stratigraphy); Moment (physics); Mathematics; Function (biology); Index (typography); Statistics; Event (particle physics); Econometrics; Sample (material); Computer science; Mathematical analysis; Demography; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004836115,0.0002922503,0.0007035869,0.00005138271,0.00005214319,0.00001528975,0.0001524962,0.0003148387,0.0139341],"category_scores_gemma":[0.001105988,0.0001973362,0.0001270133,0.00001082458,0.0001675336,0.00002482462,0.0001274723,0.0002587273,0.0008236482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003519184,"about_ca_system_score_gemma":0.0000212094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001065201,"about_ca_topic_score_gemma":0.000002069634,"domain_scores_codex":[0.998848,0.00004588349,0.0004148428,0.0002527786,0.0001942666,0.0002442454],"domain_scores_gemma":[0.9966311,0.00258409,0.000204951,0.0003542613,0.0001359171,0.00008968898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002302911,0.00001106412,0.000001385991,0.0001450844,0.0001327882,0.000007842004,0.00002735747,1.45249e-9,0.000006788551,0.9413741,0.02121727,0.03707405],"study_design_scores_gemma":[0.00005293234,0.00003189216,0.00000349125,0.0001184273,0.0001759207,0.000006824036,0.000009815668,0.000001156895,0.00003046834,0.9453792,0.0539353,0.0002545827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[4.768349e-7,0.001220614,0.2972863,0.00007786278,0.0003352308,0.0001588398,0.00002710073,0.00008576304,0.7008079],"genre_scores_gemma":[0.00004845359,0.0007271321,0.5511085,0.00013208,0.0003671388,0.00001012368,0.000004103031,0.00003445397,0.447568],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2538222,"threshold_uncertainty_score":0.9999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2976644618109828,"score_gpt":0.4550917032593231,"score_spread":0.1574272414483403,"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."}}