{"id":"W2148177376","doi":"10.1184/r1/6475496","title":"Budgeted Distribution Learning of Belief Net Parameters","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Focus (optics); Bayesian network; Probabilistic logic; Artificial intelligence; Machine learning; Heuristic; Feature (linguistics); Perspective (graphical); Mathematical optimization; Mathematics","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":[0.007894408,0.001547231,0.002907187,0.001143472,0.0009211247,0.002745872,0.004528131,0.0029578,0.006896467],"category_scores_gemma":[0.03862281,0.001671662,0.001304445,0.001853755,0.002781244,0.01143776,0.002782332,0.004536136,0.001158434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003868718,"about_ca_system_score_gemma":0.002932038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004089369,"about_ca_topic_score_gemma":0.005911114,"domain_scores_codex":[0.996013,0.001970058,0.0001874183,0.001008443,0.0004704255,0.0003507186],"domain_scores_gemma":[0.9790424,0.0168714,0.0008159498,0.002255393,0.0006551947,0.0003597934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004839929,0.0002724729,0.001855607,0.0002936061,0.0001311081,0.00007016928,0.000257798,0.7014408,0.001002637,0.1695496,0.003927018,0.1207152],"study_design_scores_gemma":[0.00005568543,0.00004165399,0.0001521924,0.00003358119,0.00001645251,0.00002555794,0.0000322384,0.8403873,0.0008367529,0.1573684,0.001035546,0.00001464212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01211999,0.0003076361,0.9844173,0.0005865894,0.00002987801,0.0001171994,0.0001658759,0.0005368094,0.001718725],"genre_scores_gemma":[0.4597636,0.0006126239,0.5336753,0.0005456234,0.0001319679,0.0006076625,0.0007399303,0.0002366222,0.003686612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007894408,"threshold_uncertainty_score":0.04175013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03759791690369528,"score_gpt":0.2601775155858471,"score_spread":0.2225795986821518,"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."}}