{"id":"W191106913","doi":"10.5591/978-1-57735-516-8/ijcai11-112","title":"The multi-inter-distance constraint","year":2011,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Scheduling (production processes); Constraint (computer-aided design); Computer science; Constraint programming; Propagator; Mathematical optimization; Algorithm; Local consistency; Constraint satisfaction; Mathematics; Probabilistic logic; Artificial intelligence; Stochastic programming","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000416107,0.0002206035,0.0001474186,0.0001455224,0.0003153664,0.0004918325,0.001337439,0.0000726067,0.0008490894],"category_scores_gemma":[0.0002804473,0.0001734059,0.0001210206,0.0002201121,0.0003917771,0.0004220984,0.0001798175,0.0002944054,0.0008406757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105181,"about_ca_system_score_gemma":0.0001439601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005947501,"about_ca_topic_score_gemma":0.0002774779,"domain_scores_codex":[0.9980168,0.0000914161,0.0006285181,0.0005104499,0.0004303926,0.0003224152],"domain_scores_gemma":[0.9984405,0.0001356272,0.0002432521,0.0005410558,0.0005072403,0.0001323331],"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":[0.00001972303,0.00007426817,0.00007968457,8.289762e-7,0.00001759771,0.00001127215,0.0004901296,0.0000571434,0.0002673377,0.7012441,0.00006081404,0.2976771],"study_design_scores_gemma":[0.0001319551,0.0002065984,0.001861941,0.000126074,0.000008076434,0.00007256969,0.001430029,0.7343075,0.05406854,0.2001622,0.006965105,0.0006593964],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003446502,0.00001030773,0.9545015,0.004435367,0.00237691,0.0002067022,0.000009520907,0.0002002898,0.03791479],"genre_scores_gemma":[0.9637675,0.00008988456,0.03496515,0.0005335045,0.00007036611,0.00003796044,0.00000385353,0.000009870213,0.0005219282],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9634228,"threshold_uncertainty_score":0.9999373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1725049289693637,"score_gpt":0.3139362700267007,"score_spread":0.141431341057337,"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."}}