{"id":"W4211235525","doi":"10.1017/9781107358331.015","title":"Coherence as Constraint Satisfaction","year":2019,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Coherence (philosophical gambling strategy); Constraint satisfaction; Computer science; Constraint (computer-aided design); Constraint satisfaction problem; Psychology; Mathematics; Artificial intelligence; Statistics","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":[0.001178734,0.0005663567,0.0004591264,0.001068352,0.001537318,0.003511547,0.001045012,0.001169111,0.01037151],"category_scores_gemma":[0.003336877,0.0003645386,0.0006436405,0.002675724,0.006063766,0.006519153,0.001891395,0.002929526,0.001604626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002703352,"about_ca_system_score_gemma":0.001802433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004167134,"about_ca_topic_score_gemma":0.003766102,"domain_scores_codex":[0.9987404,0.0003886297,0.00008209726,0.0002181728,0.0004465077,0.0001242223],"domain_scores_gemma":[0.9984977,0.0009129805,0.00007701249,0.0002195818,0.0002245133,0.0000681885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001495922,0.000001821842,0.00001440201,0.00002621423,0.000001619843,0.000008342436,0.0001008561,0.0005482227,0.00008310217,0.9931224,0.001351332,0.004740287],"study_design_scores_gemma":[0.000003373568,0.000007053794,0.00004550875,0.00004201308,0.000004097319,0.00003406884,0.00007112553,0.003091629,0.0002414561,0.937914,0.05854005,0.000005646674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00906457,0.01229977,0.5642197,0.01056002,0.0006645649,0.0001279326,0.0003670128,0.0004206102,0.4022759],"genre_scores_gemma":[0.6192399,0.01946313,0.2264905,0.004412237,0.001746503,0.0007157705,0.001203544,0.0004875875,0.1262408],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01037151,"threshold_uncertainty_score":0.03469616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205558619488682,"score_gpt":0.1977715741190336,"score_spread":0.1772157121701654,"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."}}