{"id":"W113596500","doi":"10.5006/c2005-05479","title":"Development of SCC Susceptibility Model Using Decision Tree Approach","year":2005,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada); Alberta Energy","funders":"","keywords":"Decision tree; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003001726,0.00006665017,0.00009039578,0.0000451917,0.00008913934,0.00003809929,0.0005631848,0.00002665085,0.000005841927],"category_scores_gemma":[0.000008946758,0.00005505518,0.00002398812,0.0002118901,0.00002116511,0.0003023612,0.0002699937,0.00003790721,0.00001141528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004264362,"about_ca_system_score_gemma":0.0001072748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007757336,"about_ca_topic_score_gemma":0.00001818735,"domain_scores_codex":[0.9991522,0.000005938738,0.0002472647,0.0002825284,0.0001886794,0.0001233182],"domain_scores_gemma":[0.9992931,0.00002076386,0.00004971354,0.0005341958,0.00005176691,0.00005041964],"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":[8.225e-7,0.000157038,0.00004345378,0.000003150918,0.000003000564,3.05017e-8,0.0005048659,0.01413291,0.002257383,0.009311511,0.0001346583,0.9734512],"study_design_scores_gemma":[0.00008808365,0.00000311665,0.0002782792,0.000004286766,0.000001277266,0.000001008003,0.00002462068,0.9946629,0.003615194,0.0005190397,0.0007311602,0.0000710138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1122829,0.000007400149,0.8840731,0.00002906866,0.00001012387,0.00006495101,0.0000017232,0.00004563043,0.003485095],"genre_scores_gemma":[0.2302791,5.377556e-7,0.7695982,0.00002472526,0.000009830086,0.000004070421,0.000002784806,0.000002360246,0.0000783134],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.98053,"threshold_uncertainty_score":0.2245085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06808064058755181,"score_gpt":0.3046246459191895,"score_spread":0.2365440053316377,"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."}}