{"id":"W4313153715","doi":"10.1007/978-3-031-10082-6_10","title":"Reducing the Supplementary State Space Through Embedding","year":2022,"lang":"en","type":"book-chapter","venue":"CMS/CAIMS books in mathematics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Saskatchewan","funders":"","keywords":"Embedding; State space; State (computer science); Markov chain; Markov process; Event (particle physics); Mathematics; Type (biology); Space (punctuation); Computer science; Algorithm; Statistics; Artificial intelligence; Physics","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":[0.0008955329,0.0009464893,0.001257922,0.000671091,0.0007982563,0.002127855,0.001610308,0.001176127,0.01600295],"category_scores_gemma":[0.005275963,0.000729948,0.001658436,0.0008362039,0.002052984,0.005144278,0.00517472,0.003907179,0.00350062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007479695,"about_ca_system_score_gemma":0.001056535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569446,"about_ca_topic_score_gemma":0.002021136,"domain_scores_codex":[0.999025,0.0003061835,0.00005579124,0.0002616358,0.0002604391,0.00009099834],"domain_scores_gemma":[0.9979435,0.0008993862,0.0001011608,0.0007800359,0.0002026959,0.00007323738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007368724,0.00005876809,0.0001325787,0.0001135699,0.0000232543,0.00006927678,0.0001442286,0.04956249,0.001424337,0.8676239,0.00606665,0.07470728],"study_design_scores_gemma":[0.000008501506,0.00002115499,0.00004364611,0.00002485735,0.00001043028,0.00003037827,0.00002454115,0.1610155,0.0008091472,0.8319128,0.00608595,0.00001318392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00627262,0.0001802173,0.9787431,0.0003178167,0.0001307117,0.00002567218,0.0002088473,0.0004272915,0.01369369],"genre_scores_gemma":[0.3824615,0.0009349092,0.5575079,0.0005628489,0.0003428854,0.0003139375,0.001839953,0.001553686,0.05448229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01600295,"threshold_uncertainty_score":0.05353522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04712543976014701,"score_gpt":0.2877738780171344,"score_spread":0.2406484382569875,"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."}}