{"id":"W123456301","doi":"","title":"Formal Description Techniques for CSPs and TCSPs.","year":2004,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Constraint satisfaction problem; Constraint satisfaction; Scheduling (production processes); Theoretical computer science; Variety (cybernetics); Model checking; Set (abstract data type); Constraint (computer-aided design); Formal specification; Temporal logic; Programming language; Mathematical optimization; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000144282,0.0001593045,0.0001296007,0.0001863006,0.00008940014,0.000119278,0.00009261781,0.00007847408,8.454329e-7],"category_scores_gemma":[0.0001464309,0.0001735163,0.00003399972,0.0001637789,0.00001178304,0.0006038636,0.00007276158,0.000107131,0.000001234463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005473772,"about_ca_system_score_gemma":0.00002601825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002751249,"about_ca_topic_score_gemma":0.000002254469,"domain_scores_codex":[0.9993218,0.000002837845,0.0001498594,0.0002263956,0.00005530946,0.0002437614],"domain_scores_gemma":[0.9996387,0.0000676352,0.00002122631,0.0001231868,0.00004912219,0.0001001662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000126207,0.00007045305,0.001035874,0.001112281,0.00008651062,0.000008503073,0.003526868,0.152598,0.00960045,0.2001084,0.0001103891,0.6317297],"study_design_scores_gemma":[0.001090753,0.0001647345,0.005360347,0.0003286715,0.00002151618,0.0001538784,0.00002703689,0.9681548,0.009442886,0.0004230443,0.0140787,0.0007536086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009212528,0.0006198782,0.9885202,0.00004693894,0.0003513091,0.0001791013,0.000002533554,0.00104358,0.00002390363],"genre_scores_gemma":[0.4897654,0.00006255423,0.5099774,0.00001106728,0.00008452395,0.00005010722,0.000003695095,0.00001884812,0.00002636846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8155568,"threshold_uncertainty_score":0.707579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007615484534558925,"score_gpt":0.2023658169396784,"score_spread":0.1947503324051195,"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."}}