{"id":"W899774621","doi":"","title":"ZASTOSOWANIE METOD SZTUCZNEJ INTELIGENCJI DO KLASYFIKACJI WAD W ODLEWACH ZE STOPÓW Al-Si-Cu","year":2006,"lang":"pl","type":"article","venue":"Archiwum Odlewnictwa","topic":"Surface Treatment and Coatings","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Physics; Theology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007524609,0.001677899,0.001413461,0.0006167148,0.0006115648,0.0004860715,0.001325242,0.0005177287,0.001927335],"category_scores_gemma":[0.0001544927,0.001727713,0.0008958415,0.001178393,0.0003369118,0.0006301156,0.000570788,0.001404391,0.005183023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005913022,"about_ca_system_score_gemma":0.0002414428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918563,"about_ca_topic_score_gemma":0.001128176,"domain_scores_codex":[0.9926661,0.000289478,0.001685011,0.001622674,0.001258409,0.002478292],"domain_scores_gemma":[0.996238,0.000726322,0.0003832884,0.00187689,0.0002081389,0.0005673459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001272337,0.00681149,0.1312626,0.002077548,0.006604581,0.002105218,0.02723413,0.06106368,0.1121855,0.07139438,0.2525592,0.3254293],"study_design_scores_gemma":[0.01447306,0.003238372,0.08263994,0.002507471,0.003360171,0.0005352958,0.005175799,0.05485917,0.07068379,0.03206932,0.7178538,0.01260381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8326306,0.01328031,0.004205602,0.00204046,0.003813424,0.001501189,0.0002725458,0.001803231,0.1404526],"genre_scores_gemma":[0.9804723,0.0009647348,0.004888944,0.0005080027,0.0009838737,0.0001426667,0.0002274211,0.000459802,0.01135224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4652946,"threshold_uncertainty_score":0.9995968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009005711310030409,"score_gpt":0.2155801392974034,"score_spread":0.206574427987373,"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."}}