{"id":"W2284437112","doi":"","title":"CHARACTERISATION OF STEEL BLADE MICROSTRUCTURE PRODUCED USING LASER ENGINEERING NET SHAPE PROCESS","year":2014,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Microstructure; Materials science; Direct metal laser sintering; Optical microscope; Lens (geology); Laser; Martensite; Near net shape; Metallurgy; Scanning electron microscope; Selective laser sintering; Composite material; Sintering; Optics","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":[0.00007643493,0.000167696,0.00019892,0.00005183892,0.00003197984,0.00004655275,0.00009744998,0.00007110925,0.0002765756],"category_scores_gemma":[0.00003533219,0.0001496476,0.00002478642,0.00007872696,0.00001367134,0.0001758892,0.00001712781,0.00007273148,0.000004450774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001540525,"about_ca_system_score_gemma":0.00000847836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006187829,"about_ca_topic_score_gemma":9.162982e-7,"domain_scores_codex":[0.9993477,0.000008339053,0.0002148369,0.0001523013,0.0000956287,0.000181151],"domain_scores_gemma":[0.9997085,0.00002105562,0.00005272785,0.0001261183,0.00005446048,0.00003718879],"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":[0.000009148948,0.000006472148,0.0001342746,0.001033158,0.00002350628,3.789972e-7,0.0002370238,0.08206199,0.9151369,0.00001826758,0.00005195776,0.001286925],"study_design_scores_gemma":[0.0001278118,0.00001515777,0.006137921,0.00005782393,0.00001205626,0.000004711089,0.00001665387,0.07232116,0.9202771,0.00004452912,0.0008024498,0.0001826452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957406,0.00001836247,0.003302712,0.000009672448,0.0002733423,0.0001237282,0.00002544153,0.0002191667,0.0002869811],"genre_scores_gemma":[0.9985428,0.00000524053,0.001077595,0.00001834033,0.0002464552,0.000006962553,0.00003055638,0.00004113509,0.00003086213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009740829,"threshold_uncertainty_score":0.6102451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007695081027416712,"score_gpt":0.1992111453050341,"score_spread":0.1915160642776174,"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."}}