{"id":"W4239835846","doi":"10.1007/978-1-4939-7131-2_101263","title":"Statistical Relational Models","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":[0.0001232336,0.000191985,0.0001737531,0.00006959757,0.00006622988,0.00009209791,0.0005175976,0.0002409705,0.002070099],"category_scores_gemma":[0.00000731506,0.0001714989,0.00005251087,0.00001524284,0.00008917174,0.0002284932,0.0002042175,0.0002555813,0.002178279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003203228,"about_ca_system_score_gemma":0.0001682175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004002402,"about_ca_topic_score_gemma":0.000002573211,"domain_scores_codex":[0.998769,0.000008175103,0.0002371692,0.0004547107,0.0003621342,0.0001688403],"domain_scores_gemma":[0.9990984,0.00008479856,0.00006621224,0.0004763774,0.0001587715,0.0001154654],"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":[9.364112e-7,0.000003201135,1.037946e-7,0.000002923659,0.00001020623,0.000006075329,0.00002861143,0.00008082218,3.408267e-7,0.9698952,0.02444183,0.005529779],"study_design_scores_gemma":[0.00003063061,0.00002815463,9.850419e-7,0.00002165439,0.000004287072,0.000008000336,1.621688e-7,0.2987097,0.000001116589,0.6792198,0.021817,0.0001585147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.137819e-7,0.00002734606,0.5138368,0.0001188429,0.0001126018,0.0000286327,0.000009458169,0.0001034957,0.4857627],"genre_scores_gemma":[0.001036248,0.00001748753,0.3413933,0.0003836326,0.0001514194,0.000002027589,0.00002141525,0.0000150722,0.6569794],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2986289,"threshold_uncertainty_score":0.9988421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0784347501045627,"score_gpt":0.2624492119661074,"score_spread":0.1840144618615447,"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."}}