{"id":"W3012136308","doi":"10.4230/lipics.cp.2022.15","title":"Constraint Acquisition Based on Solution Counting","year":2022,"lang":"en","type":"preprint","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Constraint (computer-aided design); Computer science; Information retrieval; Mathematics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004773093,0.001794387,0.001860579,0.002841573,0.001440877,0.003386294,0.005523963,0.001817722,0.02059037],"category_scores_gemma":[0.04118511,0.001298055,0.001990572,0.003101253,0.00236318,0.008029324,0.005966691,0.004969717,0.006108154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535737,"about_ca_system_score_gemma":0.004230605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004908617,"about_ca_topic_score_gemma":0.008295822,"domain_scores_codex":[0.990488,0.003210462,0.0005912265,0.001691577,0.003433572,0.0005852677],"domain_scores_gemma":[0.9707369,0.01706716,0.001425628,0.006174722,0.003895675,0.0006999673],"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":[0.001115795,0.0009929417,0.004221417,0.001285982,0.0002457401,0.0003917153,0.0009884713,0.06902021,0.02260399,0.1118789,0.05413805,0.7331167],"study_design_scores_gemma":[0.0001472855,0.0001308697,0.0004532751,0.0001221793,0.000050579,0.0002463349,0.0001185728,0.8638748,0.02160167,0.09071743,0.02243942,0.0000975678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0151048,0.0003080373,0.9451981,0.0006132867,0.00007552192,0.0003662919,0.000609196,0.03104455,0.006680126],"genre_scores_gemma":[0.184101,0.0002815559,0.8015159,0.0008443154,0.0000954041,0.0006123434,0.003053282,0.003261191,0.006235137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02059037,"threshold_uncertainty_score":0.06888163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476438483508821,"score_gpt":0.2674246517087655,"score_spread":0.2526602668736773,"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."}}