{"id":"W4235192255","doi":"10.1007/978-94-017-2231-5_11","title":"Pattern Recognition and Classification Methodology for the Characterization of Material Response States","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Identification (biology); Conjunction (astronomy); Characterization (materials science); Computer science; Artificial intelligence; Pattern recognition (psychology); Materials science; Physics; Nanotechnology; Biology","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":[0.0007121232,0.001050352,0.001040665,0.001913342,0.0003612335,0.001316763,0.001856667,0.00111576,0.007043636],"category_scores_gemma":[0.001135923,0.000573466,0.0007069713,0.002748532,0.0007737048,0.001244792,0.0005237919,0.001397439,0.005490284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004528787,"about_ca_system_score_gemma":0.0005565191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068062,"about_ca_topic_score_gemma":0.001978757,"domain_scores_codex":[0.9995173,0.00005106251,0.00003663745,0.0001080391,0.0002632056,0.00002380094],"domain_scores_gemma":[0.9994456,0.000185646,0.00004049601,0.0001106572,0.0002022994,0.00001530856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003596155,0.00007617302,0.000392161,0.0005502377,0.00006367322,0.00009401081,0.00008142005,0.01019319,0.05473733,0.03932314,0.01783365,0.8766192],"study_design_scores_gemma":[0.00002944511,0.0002482888,0.003857577,0.0002666493,0.0001508783,0.001749595,0.0001093563,0.5284591,0.1226248,0.113881,0.2284972,0.0001260908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001000923,0.002034377,0.9911078,0.000107122,0.0001146119,0.00005801968,0.0001562433,0.001050271,0.004370695],"genre_scores_gemma":[0.02278781,0.003185907,0.9572514,0.0001575445,0.0001251025,0.0002206072,0.0006699704,0.0002260703,0.01537549],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007043636,"threshold_uncertainty_score":0.02356327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1389129642601652,"score_gpt":0.2747422425655773,"score_spread":0.1358292783054122,"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."}}