{"id":"W1485834477","doi":"10.1007/11766247_20","title":"Learning Bayesian Networks in Semi-deterministic Systems","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Bayesian network; Artificial intelligence; Bayesian probability; Machine learning","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001252154,0.0006914209,0.0007787982,0.001008648,0.0002634827,0.001109917,0.003252248,0.0005856295,0.000006050382],"category_scores_gemma":[0.00007449752,0.0006804831,0.0001248403,0.0008446362,0.0004705708,0.0004899426,0.0009682619,0.001977959,0.00002816438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004036871,"about_ca_system_score_gemma":0.0005229006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001444888,"about_ca_topic_score_gemma":0.0001096223,"domain_scores_codex":[0.9951293,0.0001021101,0.0008833641,0.001900055,0.0009118636,0.001073256],"domain_scores_gemma":[0.997473,0.0005465252,0.0003733914,0.001218629,0.0001799072,0.0002085579],"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":[0.000002252536,0.00001565697,0.0001803901,0.00003428,0.000003200741,0.0002140056,0.0001501498,0.8575204,0.000009326167,0.006288771,0.00001734738,0.1355642],"study_design_scores_gemma":[0.0001776308,0.000154769,0.0001138819,0.0009364353,0.000005139806,0.0001008037,1.797049e-7,0.9734535,0.00001401192,0.02401236,0.0002959478,0.0007353965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00005887324,0.0008488098,0.9904428,0.0001396151,0.001974598,0.0003281037,0.000001633694,0.0002576057,0.005947955],"genre_scores_gemma":[0.9488958,0.0000521496,0.04914672,0.0003004999,0.0006030411,0.00001682358,0.000007208692,0.0000520075,0.0009257654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9488369,"threshold_uncertainty_score":0.999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434851678888813,"score_gpt":0.2337514579972076,"score_spread":0.2194029412083194,"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."}}