{"id":"W4312078660","doi":"10.3390/ma16010001","title":"In Envelope Additive/Subtractive Manufacturing and Thermal Post-Processing of Inconel 718","year":2022,"lang":"en","type":"article","venue":"Materials","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Department of National Defence; National Research Council Canada","funders":"National Research Council Canada; Ministère de la Défense Nationale","keywords":"Materials science; Microstructure; Inconel; Ultimate tensile strength; Elongation; Grain size; Machining; Texture (cosmology); Metallurgy; Composite material; Envelope (radar); Alloy","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002596008,0.0001770618,0.0003110725,0.0001266748,0.00009598512,0.00005087798,0.0001252774,0.00004215704,0.00327412],"category_scores_gemma":[0.00001827463,0.0001784041,0.00001690978,0.0000522647,0.00004671778,0.0002654788,0.0001554515,0.00009917594,0.000006668449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004913194,"about_ca_system_score_gemma":0.00002284868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009460401,"about_ca_topic_score_gemma":0.000005029106,"domain_scores_codex":[0.9990503,0.000072435,0.0003098421,0.000185546,0.0001334091,0.0002484566],"domain_scores_gemma":[0.999696,0.00006366899,0.00009170984,0.00009216709,0.00002134089,0.00003507519],"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":[0.0001394748,0.00003128074,0.00002874397,0.0004768867,0.0000277907,0.00003972015,0.001934744,0.001626828,0.989296,0.00006684914,0.0001294016,0.006202342],"study_design_scores_gemma":[0.000286153,0.0000433321,0.02237599,0.00003552358,0.00000758438,0.00001575275,0.0004946381,0.00001786562,0.973605,0.0001994044,0.00271485,0.0002039108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973776,0.0001284422,0.00002115199,0.00004352821,0.0003731816,0.000147532,0.0006473783,0.00007177626,0.001189403],"genre_scores_gemma":[0.999446,0.00003425721,0.0001486667,0.00007717624,0.00009198779,0.00007545616,0.0000512441,0.00003979581,0.00003541678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02234725,"threshold_uncertainty_score":0.997637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006869129721211919,"score_gpt":0.1983540643905421,"score_spread":0.1914849346693302,"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."}}