{"id":"W2352775011","doi":"","title":"Feature Modeling and Manufacture Behavior Reasoning Based on Geometry Ontology","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Feature (linguistics); Graph; Product (mathematics); Process ontology; Volume (thermodynamics); Artificial intelligence; Data mining; Theoretical computer science; Geometry; Domain knowledge; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006247689,0.0001335396,0.0001413296,0.000122699,0.0001257222,0.00003033445,0.0001605044,0.0004124813,0.000007915599],"category_scores_gemma":[5.783618e-7,0.0001320615,0.00003281388,0.0001079148,0.00002646709,0.00002978322,0.00001936756,0.0006583614,0.00002020118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000167879,"about_ca_system_score_gemma":0.000008259213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006876284,"about_ca_topic_score_gemma":0.00002110143,"domain_scores_codex":[0.9994611,0.000007510783,0.0001020913,0.0002045998,0.00004329746,0.0001813981],"domain_scores_gemma":[0.9996346,0.00002645457,0.00001977846,0.000252953,0.00002041238,0.00004583483],"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":[0.00002572379,0.0001816517,0.002795192,0.00009023715,0.0001070678,0.00001552984,0.0001556469,0.07271331,0.2171417,0.01667443,0.006223003,0.6838765],"study_design_scores_gemma":[0.0009810129,0.00003351911,0.001452886,0.0000274222,0.00006001994,0.00009118053,0.00001977135,0.7613606,0.007485474,0.0003284858,0.2277209,0.0004387618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.317158,0.0001252097,0.6798814,0.0005661702,0.0001229461,0.0007326835,0.00001886873,0.0006707016,0.0007240094],"genre_scores_gemma":[0.968888,0.000001855439,0.03018631,0.000137009,0.0002493202,0.0004517902,0.00002364289,0.0000209629,0.00004104743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6886473,"threshold_uncertainty_score":0.5385309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004707577351864558,"score_gpt":0.2026950837282751,"score_spread":0.1979875063764105,"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."}}