{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068166,0.00124664,0.0007653539,0.001307966,0.0006325359,0.003064078,0.001335417,0.001143305,0.03846519],"category_scores_gemma":[0.0046108,0.0007610332,0.0007090305,0.002470547,0.001632996,0.004680065,0.001432819,0.002984598,0.01727302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365566,"about_ca_system_score_gemma":0.001234586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139113,"about_ca_topic_score_gemma":0.002441624,"domain_scores_codex":[0.9990835,0.0002671577,0.00003244897,0.0001806289,0.0004028612,0.00003338901],"domain_scores_gemma":[0.9989566,0.0005872783,0.00003628727,0.000236778,0.0001471455,0.00003581382],"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":[0.000005441571,0.00001844315,0.00006722254,0.0001007784,0.00001634618,0.00002329796,0.0001172427,0.003065284,0.0001753807,0.8381076,0.06793895,0.09036396],"study_design_scores_gemma":[0.000001813778,0.000002916809,0.00006087179,0.0000670141,0.000008260679,0.00004530182,0.00002314731,0.006384159,0.0001466783,0.8094461,0.1838052,0.000008690909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001581084,0.0211571,0.6537849,0.006464352,0.00149042,0.00006092027,0.001492884,0.001513273,0.312455],"genre_scores_gemma":[0.1170629,0.04616809,0.2632574,0.003318112,0.003620769,0.0003822148,0.006400167,0.002238092,0.5575523],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03846519,"threshold_uncertainty_score":0.1286789,"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."}}