{"id":"W2252411575","doi":"10.1109/9780470544204.ch9","title":"Pattern Classification and Diagnostic Decision","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Relevance (law); Computer science; Artificial intelligence; Subject (documents); SIGNAL (programming language); Pattern recognition (psychology); Linear discriminant analysis; Machine learning; Data science; Data mining","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":[0.003217171,0.001204342,0.001517383,0.003337285,0.0007831137,0.006474066,0.002086514,0.002419718,0.02442287],"category_scores_gemma":[0.01337344,0.0005461856,0.001210908,0.004625591,0.002689197,0.005687026,0.002106188,0.002411022,0.009094529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172714,"about_ca_system_score_gemma":0.001576683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003061175,"about_ca_topic_score_gemma":0.001606933,"domain_scores_codex":[0.9963936,0.001211792,0.0003724198,0.0007553609,0.001080291,0.0001865709],"domain_scores_gemma":[0.994639,0.003314339,0.0003213959,0.0006721798,0.0009461981,0.0001068766],"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":[0.00009090125,0.0000918815,0.002141235,0.001347446,0.0001630005,0.0003700179,0.0003500228,0.008566733,0.00107567,0.3352528,0.09006321,0.560487],"study_design_scores_gemma":[0.00004334178,0.00007030892,0.002101802,0.000560972,0.00005553605,0.000658636,0.0004271052,0.04797258,0.00148568,0.7735755,0.1729794,0.00006915106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0072085,0.0460491,0.7768012,0.02934141,0.005921348,0.0008642614,0.003584092,0.0021536,0.1280765],"genre_scores_gemma":[0.2382601,0.03546567,0.6301303,0.008500648,0.006736106,0.001772199,0.00690929,0.0006374232,0.07158829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02442287,"threshold_uncertainty_score":0.08170271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124137296824698,"score_gpt":0.2045726648356199,"score_spread":0.1933312918673729,"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."}}