{"id":"W2072720022","doi":"","title":"On Bayesian Model Assessment and Choice Using Cross-Validation Predictive Densities: Appendix","year":2001,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Markov chain Monte Carlo; Software; MATLAB; Notation; Algorithm; Bayesian probability; Parametrization (atmospheric modeling); Mathematics; Statistics; Applied mathematics; Programming language; Artificial intelligence; Arithmetic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007689929,0.001548383,0.001130153,0.002507606,0.0006998202,0.001391936,0.002723984,0.001730304,0.1622104],"category_scores_gemma":[0.06694581,0.0009820258,0.0007814394,0.002663198,0.00060569,0.00199744,0.00193693,0.00207385,0.02097428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991569,"about_ca_system_score_gemma":0.00272858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01745192,"about_ca_topic_score_gemma":0.02482685,"domain_scores_codex":[0.9976004,0.001501184,0.0001419134,0.0002287226,0.0004569294,0.00007097473],"domain_scores_gemma":[0.959385,0.03364235,0.0005805704,0.001927741,0.004268406,0.0001960272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001202479,0.0001959967,0.002263288,0.0006588187,0.0001205264,0.000359085,0.0001968759,0.2111211,0.0005605457,0.1369879,0.2334322,0.4139835],"study_design_scores_gemma":[0.0001078748,0.00005064508,0.001431771,0.0003957277,0.00004071811,0.000273931,0.00006634391,0.729658,0.001415037,0.212243,0.0542304,0.00008652746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001559765,0.0004341748,0.98079,0.0004344252,0.00012902,0.0002975732,0.003251023,0.003408716,0.009695168],"genre_scores_gemma":[0.04118245,0.0007790783,0.9372751,0.0002975309,0.0001705122,0.001838029,0.005795718,0.001445724,0.0112159],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1622104,"threshold_uncertainty_score":0.542648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05576379829118629,"score_gpt":0.3345290053077004,"score_spread":0.2787652070165141,"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."}}