{"id":"W2335211085","doi":"","title":"Stress and Strain Distributions during Machining of Ti-6Al-4V at Ambient and Cryogenic Temperatures","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Materials science; Strain (injury); Metallurgy; Stress (linguistics); Cryogenic temperature; Composite material; Forensic engineering; Engineering; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001601853,0.0001689081,0.000241707,0.000126275,0.0003880774,0.00002174952,0.0001490386,0.0001152553,0.00004885552],"category_scores_gemma":[0.00005447036,0.0002078249,0.00005333563,0.0001737285,0.0001442581,0.0003808014,0.00018672,0.0002395597,0.000001763527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006394702,"about_ca_system_score_gemma":0.00000995286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001483681,"about_ca_topic_score_gemma":0.0001321842,"domain_scores_codex":[0.9991659,0.00004215648,0.0001502569,0.0002515978,0.0001663094,0.0002237775],"domain_scores_gemma":[0.9994662,0.00005941988,0.00009781351,0.0001872207,0.00006226883,0.0001270831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004021069,0.0001332808,0.4554745,0.002402058,0.0003373104,0.00002556366,0.005639039,0.1247634,0.4051673,0.0025656,0.0000379115,0.003051933],"study_design_scores_gemma":[0.002370146,0.0001410323,0.9424676,0.0004096492,0.0001576893,0.00003822537,0.0009252609,0.01136272,0.04078754,0.0004090661,0.0003480391,0.0005830667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951727,0.0003898473,0.00371548,0.00004739447,0.00005381051,0.00009706018,0.0002570758,0.00008176669,0.0001848127],"genre_scores_gemma":[0.9967777,0.0001694103,0.002720819,0.000005048501,0.00001847984,3.28637e-7,0.00008712911,0.00002072281,0.0002003471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.486993,"threshold_uncertainty_score":0.8474854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00535206566537974,"score_gpt":0.1869910682271812,"score_spread":0.1816390025618014,"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."}}