{"id":"W4400615282","doi":"10.5220/0012811800003758","title":"A Web-Based System for Learning Qualitative Constraint Networks with Preferences","year":2024,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Constraint (computer-aided design); World Wide Web; Human–computer interaction; Artificial intelligence; Multimedia; Engineering","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":[0.000347447,0.00009277066,0.00009792542,0.00008587722,0.0001038972,0.0003311382,0.0001165912,0.00003798866,0.00003664333],"category_scores_gemma":[0.0000183671,0.00006588924,0.00003861806,0.0002652601,0.00005621123,0.0002168557,0.0000140685,0.00009883955,0.000008916752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004290254,"about_ca_system_score_gemma":0.000216474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000923871,"about_ca_topic_score_gemma":0.00003699278,"domain_scores_codex":[0.9992293,0.00009890247,0.0001420929,0.0002654477,0.0001194931,0.0001447698],"domain_scores_gemma":[0.9992453,0.0004812957,0.00003772164,0.00009511894,0.00009004711,0.00005049886],"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":[0.00002108253,0.00001184937,0.0002092435,0.000181938,0.0000624783,0.000007773515,0.003221103,0.2730629,0.00003311273,0.5821484,0.0003687034,0.1406714],"study_design_scores_gemma":[0.0002740508,0.0001290785,0.00003463385,0.0001453694,0.000007306467,0.000009632461,0.002363103,0.9957982,0.00006631465,0.0001101541,0.0009512199,0.0001109342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006444724,0.00004742627,0.9909186,0.0004977128,0.000231132,0.0002562265,0.000002252808,0.0008335898,0.00656853],"genre_scores_gemma":[0.8640037,0.000001535602,0.1356072,0.00005002913,0.00002223806,0.0000579233,0.000005789724,0.000005233794,0.0002464315],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8633592,"threshold_uncertainty_score":0.3193173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235024257238131,"score_gpt":0.2837930731360247,"score_spread":0.2602906474122116,"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."}}