{"id":"W7100761624","doi":"","title":"Author manuscript, published in "CP'12: International Conference on Principles and Practice of Constraint Programming, Québec City: Canada (2012)" Revisiting Neighborhood Inverse Consistency on Binary CSPs","year":2012,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local consistency; Constraint satisfaction problem; Consistency (knowledge bases); Pairwise comparison; Binary number; Weak consistency; Consistency model; Causal consistency; Constraint (computer-aided design)","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":[0.003246922,0.0008849794,0.001800066,0.001591208,0.00261821,0.008104421,0.00247733,0.001517891,0.4740287],"category_scores_gemma":[0.01543859,0.0009085554,0.0009891447,0.004225052,0.00173738,0.003876698,0.002490879,0.002106396,0.1129813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004377213,"about_ca_system_score_gemma":0.006300336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03322599,"about_ca_topic_score_gemma":0.07556557,"domain_scores_codex":[0.9981731,0.0002872141,0.0001213135,0.0004883789,0.0007357108,0.0001941312],"domain_scores_gemma":[0.9922276,0.001723696,0.0002312505,0.001310084,0.00385877,0.0006486254],"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":[0.0002237194,0.00007953626,0.001107433,0.0005515901,0.0000960871,0.0002650224,0.0002260418,0.003066553,0.001566563,0.03615639,0.7572985,0.1993625],"study_design_scores_gemma":[0.00004872049,0.00003041698,0.0008370047,0.0001998468,0.0000248652,0.0002145197,0.0001666464,0.007841239,0.001627295,0.01348229,0.975491,0.0000360482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008590449,0.009246904,0.229001,0.04592837,0.08895995,0.0009817957,0.02188409,0.005820476,0.589587],"genre_scores_gemma":[0.03484571,0.005160994,0.0897503,0.002339397,0.00361788,0.0001997778,0.007833441,0.004424332,0.8518282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4740287,"threshold_uncertainty_score":0.7502342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493037634918881,"score_gpt":0.3266280567069823,"score_spread":0.1773242932150942,"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."}}