{"id":"W4385063110","doi":"10.1063/5.0107751","title":"Model for ensuring the manufacturability of the design of devices for heat treatment of biological products","year":2023,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hyperion Technologies (Canada)","funders":"","keywords":"Design for manufacturability; Computer science; Reliability engineering; Risk analysis (engineering); Engineering; Mechanical engineering; Business","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":[0.0009202575,0.001223879,0.0008788246,0.0007967181,0.000539375,0.001256247,0.00189903,0.001689457,0.006609273],"category_scores_gemma":[0.002383624,0.0006129321,0.001176266,0.0004047027,0.0008871497,0.001061951,0.0008398371,0.001175505,0.001150947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330113,"about_ca_system_score_gemma":0.001584016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007930615,"about_ca_topic_score_gemma":0.005561909,"domain_scores_codex":[0.999512,0.0001175549,0.00001790703,0.0000858657,0.0001897312,0.00007703046],"domain_scores_gemma":[0.9992229,0.0003696167,0.00009922923,0.0001107873,0.0001711779,0.0000263572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000369748,0.00002527076,0.000165413,0.00005198731,0.00001536326,0.00003039628,0.00002045296,0.974331,0.003845902,0.01756651,0.0004189558,0.003491786],"study_design_scores_gemma":[0.00001517515,0.00002776279,0.00007841485,0.000005882207,0.000008938503,0.000007356778,0.000004599485,0.9919916,0.0009567481,0.006054541,0.0008438338,0.000005234484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02662444,0.000215008,0.9565926,0.0004420788,0.00006598332,0.0001203363,0.0003879597,0.0006484864,0.01490323],"genre_scores_gemma":[0.7640634,0.000462337,0.2177641,0.0001884947,0.00004263222,0.0008630169,0.0008121133,0.0003700829,0.01543377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007930615,"threshold_uncertainty_score":0.02211016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076467699796409,"score_gpt":0.2650957492322689,"score_spread":0.157448979252628,"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."}}