{"id":"W2146913654","doi":"","title":"Partial Order Knowledge Structures for CAT Applications","year":2007,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Bayesian network; Computer science; Bayesian probability; Variable-order Bayesian network; Machine learning; Scalability; Reliability (semiconductor); Artificial intelligence; Data mining; Bayesian inference; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004159594,0.0005992368,0.0009338298,0.002571393,0.0008991795,0.003788451,0.001974066,0.001949694,0.008524334],"category_scores_gemma":[0.0346011,0.0005860388,0.001452696,0.003326898,0.001298375,0.009410748,0.003794847,0.002860867,0.002048552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002300307,"about_ca_system_score_gemma":0.003175285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008593005,"about_ca_topic_score_gemma":0.0109551,"domain_scores_codex":[0.995127,0.001848845,0.0004264808,0.000567869,0.001884153,0.0001456008],"domain_scores_gemma":[0.9817649,0.01147023,0.0009377038,0.002785485,0.00254466,0.0004969274],"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":[0.0001817864,0.0002027487,0.00275222,0.0005384997,0.000106114,0.0003236922,0.0009550494,0.1740582,0.001329062,0.3457784,0.01203024,0.4617439],"study_design_scores_gemma":[0.00001700125,0.0000500582,0.0005331428,0.00009705082,0.00002202598,0.0001351503,0.0001751248,0.5379253,0.0008480465,0.4474535,0.0127165,0.00002708291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01366701,0.0005659027,0.9740514,0.001466906,0.00003757451,0.0002439953,0.001103603,0.001994424,0.006869191],"genre_scores_gemma":[0.3539127,0.001216615,0.6338049,0.0003281613,0.0001065742,0.0006672332,0.003853108,0.0002849851,0.005825809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008593005,"threshold_uncertainty_score":0.02851671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455009829077134,"score_gpt":0.3260010566318342,"score_spread":0.2914509583410629,"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."}}