{"id":"W4404189292","doi":"10.14453/ltc.604","title":"WearComp 4","year":2006,"lang":"en","type":"article","venue":"Law/text/culture","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.0008320489,0.001263705,0.0006933695,0.002780116,0.002217296,0.003356446,0.00143689,0.002181504,0.7600371],"category_scores_gemma":[0.002360918,0.0006884391,0.0006595996,0.000983946,0.0005436031,0.002070561,0.002280336,0.001555654,0.4214413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006815172,"about_ca_system_score_gemma":0.001012487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00305958,"about_ca_topic_score_gemma":0.009693354,"domain_scores_codex":[0.9987602,0.00004259633,0.00003364737,0.0001997032,0.0008491087,0.0001146815],"domain_scores_gemma":[0.9979637,0.0001796482,0.00005292436,0.0002379874,0.001184216,0.0003816344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006549028,0.00004794342,0.0001001004,0.00009519859,0.000002654464,0.00009941509,0.00006438916,0.0001338883,0.002641876,0.001347061,0.8377454,0.1576566],"study_design_scores_gemma":[0.000022763,0.00004913742,0.0007357817,0.00003431837,0.000004436514,0.0002928967,0.000106705,0.0007644862,0.002081501,0.0006550644,0.9952375,0.00001534237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003161755,0.00107123,0.008374486,0.002219183,0.00390047,0.0002005766,0.001659449,0.0086833,0.9707295],"genre_scores_gemma":[0.00436206,0.0001666299,0.001128882,0.0002107054,0.0001973903,0.00002854856,0.0005332177,0.0009489837,0.9924237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7600371,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005557186718645447,"score_gpt":0.1910008829338919,"score_spread":0.1854436962152465,"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."}}