{"id":"W4256329912","doi":"10.21741/9781644900031-12","title":"HIP Processing of Improved Tooling Materials for High-Productivity Hot Metal Forming Processes","year":2019,"lang":"en","type":"article","venue":"Materials research proceedings","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aluminium Refining, Degassing and Filtering (Canada)","funders":"","keywords":"Productivity; Materials processing; Materials science; Metal forming; Metallurgy; Computer science; Manufacturing engineering; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.004867983,0.0003839869,0.0008710163,0.0004154212,0.0002448964,0.0004515616,0.0005226534,0.0002381339,0.0004179833],"category_scores_gemma":[0.001147698,0.0003486341,0.00005842969,0.0005424784,0.0001252958,0.001587355,0.0002290859,0.0001855612,0.00004435178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384768,"about_ca_system_score_gemma":0.0001664951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007447771,"about_ca_topic_score_gemma":0.000004347485,"domain_scores_codex":[0.9966885,0.00003540497,0.0008580303,0.0005909904,0.000715825,0.001111271],"domain_scores_gemma":[0.997793,0.0001176976,0.0002175213,0.0002367189,0.001512477,0.0001226254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003952497,0.00003885797,0.00001133107,0.01621645,0.00005990945,6.495765e-7,0.0005078901,0.0000143997,0.9800341,0.001465673,0.00007288524,0.001182659],"study_design_scores_gemma":[0.0006504674,0.0002444018,0.00005804075,0.0004868488,0.000030452,0.000009185256,0.0003242053,0.0001384741,0.9943596,0.001971394,0.001342425,0.0003845272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952625,0.0001421615,0.0002228131,0.00002969392,0.001151691,0.002215297,0.0001048018,0.000321321,0.0005497141],"genre_scores_gemma":[0.9957901,0.00005296593,0.00231244,0.000006101954,0.000684972,0.0006115162,0.00004130984,0.0001452832,0.0003552934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0157296,"threshold_uncertainty_score":0.9998966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04594470043169413,"score_gpt":0.3102193497963625,"score_spread":0.2642746493646684,"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."}}