{"id":"W7095236798","doi":"","title":"Author manuscript, published in "12th International Conference on Principles of Knowledge Representation and Reasoning (KR'10), Toronto: Canada (2010)" A Class of ⋄ f-consistencies for Qualitative Constraint Networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local consistency; Consistency (knowledge bases); Constraint (computer-aided design); Class (philosophy); Closure (psychology); Representation (politics); Inference; Knowledge representation and reasoning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004313895,0.001015444,0.001778436,0.002046904,0.0025515,0.009819947,0.002455488,0.002164237,0.406967],"category_scores_gemma":[0.02026386,0.001045333,0.00136562,0.004822565,0.001660176,0.005589239,0.003627849,0.002149626,0.1081263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003180529,"about_ca_system_score_gemma":0.005328855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236234,"about_ca_topic_score_gemma":0.0222601,"domain_scores_codex":[0.9978016,0.0003802748,0.0001725622,0.0007213781,0.0007419264,0.0001822337],"domain_scores_gemma":[0.9916093,0.0022765,0.0003328096,0.001633244,0.003545439,0.0006027485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002763841,0.00006621613,0.001220218,0.000827033,0.0001694094,0.0003432749,0.0003760871,0.003431725,0.00131966,0.07755709,0.6378983,0.2765146],"study_design_scores_gemma":[0.00004978626,0.00002936112,0.0006914763,0.0002829437,0.00004508989,0.0002703214,0.000211395,0.006573413,0.001406937,0.03352529,0.9568755,0.00003854191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007721995,0.01699203,0.4188636,0.04980921,0.08616881,0.0005751884,0.02497241,0.006825723,0.3880709],"genre_scores_gemma":[0.05079621,0.009882941,0.1609122,0.003375833,0.00525742,0.0002662111,0.01837796,0.004906283,0.7462249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.406967,"threshold_uncertainty_score":0.8458897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2957785768422551,"score_gpt":0.3437780297383678,"score_spread":0.04799945289611274,"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."}}