{"id":"W7002228100","doi":"","title":"Modeling and solving engineer-to-order product configuration problems by constraint satisfaction","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constraint satisfaction problem; Product (mathematics); Constraint (computer-aided design); Constraint satisfaction; Constrained optimization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001976439,0.001047467,0.001136567,0.001202801,0.001111037,0.002356155,0.002013784,0.001688327,0.0112425],"category_scores_gemma":[0.01233539,0.001472064,0.001628895,0.002084721,0.001203973,0.002449051,0.001438657,0.00163865,0.0007519721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247553,"about_ca_system_score_gemma":0.003458104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03865309,"about_ca_topic_score_gemma":0.04522233,"domain_scores_codex":[0.9984462,0.0006261331,0.00007832931,0.0001851946,0.0004917289,0.0001725528],"domain_scores_gemma":[0.9925728,0.005953922,0.0004029006,0.0002894379,0.0006417615,0.0001391831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003727075,0.0000521013,0.0008168997,0.0001155959,0.00003600182,0.0001514797,0.0000832108,0.9628361,0.0003512902,0.01215879,0.001329566,0.02203161],"study_design_scores_gemma":[0.00001946765,0.00001473189,0.0001082188,0.000008238344,0.000009843367,0.00001769554,0.00004619682,0.9892886,0.0003998377,0.009081754,0.0009988319,0.000006630879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04912655,0.0001631104,0.9353306,0.0005291196,0.00005566534,0.000417498,0.0004502359,0.000573346,0.0133538],"genre_scores_gemma":[0.3333864,0.0003241063,0.6569459,0.0001175785,0.00004347338,0.0004723065,0.0009355037,0.0003713052,0.00740338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03865309,"threshold_uncertainty_score":0.0768562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009675475426833823,"score_gpt":0.1940963849068003,"score_spread":0.1844209094799664,"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."}}