{"id":"W2137215545","doi":"","title":"Detecting Physical Defects: A Practical 2D-Study of Cracks and Holes","year":2009,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Rotation formalisms in three dimensions; Set (abstract data type); Computer science; Spatial intelligence; Domain (mathematical analysis); Theoretical computer science; Artificial intelligence; Algorithm; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00179915,0.0005392025,0.0006128729,0.00124244,0.0007343919,0.00195451,0.001562326,0.001823677,0.003948556],"category_scores_gemma":[0.00615803,0.0006326115,0.001125103,0.0008429583,0.004012761,0.003361682,0.002443118,0.001124316,0.0002940042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008685924,"about_ca_system_score_gemma":0.000545213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002512988,"about_ca_topic_score_gemma":0.002008094,"domain_scores_codex":[0.9989275,0.0004557976,0.00005306149,0.0002235016,0.0002842839,0.00005580542],"domain_scores_gemma":[0.9959357,0.003147127,0.0001922493,0.000441119,0.0002059185,0.0000779246],"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":[0.0001016171,0.00006587955,0.003549697,0.0005406868,0.00003943475,0.0006993784,0.001359254,0.2670074,0.009278426,0.6452832,0.002080254,0.06999487],"study_design_scores_gemma":[0.00003269299,0.00006900728,0.001264244,0.0001052183,0.00002061929,0.0007888569,0.000613971,0.6329061,0.004986444,0.3481053,0.0110659,0.00004166022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03051262,0.0005630703,0.9615569,0.0007281461,0.00002585094,0.00005907708,0.0001709498,0.0001717529,0.006211727],"genre_scores_gemma":[0.3597732,0.0007895528,0.6357752,0.0001531713,0.00002986931,0.000096392,0.0001910612,0.0001283503,0.003063237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003948556,"threshold_uncertainty_score":0.01320928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671101777267903,"score_gpt":0.2906654550549669,"score_spread":0.2739544372822879,"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."}}