{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000370956,0.0001569519,0.0001951803,0.0000179171,0.00008524414,0.00005947686,0.0001685812,0.0001295925,0.0005905522],"category_scores_gemma":[0.000003940799,0.0001196285,0.0001339907,0.0001863228,0.00002180272,0.00007764085,0.00002485387,0.0001938917,0.0002933293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002260187,"about_ca_system_score_gemma":0.000001940211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002521661,"about_ca_topic_score_gemma":0.000290503,"domain_scores_codex":[0.999203,0.00001374512,0.0001779956,0.0001721146,0.0001734027,0.0002597182],"domain_scores_gemma":[0.9996322,0.00001009943,0.00001954885,0.0002314856,0.00002788484,0.00007876995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001361633,0.0001767519,0.0005394864,0.0002095501,0.0003568362,0.0001029182,0.0004338913,0.02018972,0.06746371,0.7029286,0.1855006,0.02208427],"study_design_scores_gemma":[0.0004828119,0.00004506479,0.001035762,0.00005708102,0.0001037766,0.000006990011,0.00006983105,0.01556296,0.01558826,0.01349972,0.9529567,0.0005910583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04687517,0.01142344,0.02747027,0.0006226489,0.0008559196,0.000399963,0.0001413371,0.001916671,0.9102946],"genre_scores_gemma":[0.9935871,0.0001085149,0.001019623,0.0001407074,0.0003341175,0.00001116739,0.00004430516,0.00002408547,0.004730372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.946712,"threshold_uncertainty_score":0.6466133,"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."}}