{"id":"W4385421042","doi":"10.3390/met13081372","title":"Pre–Placed Metal Laser–Additive Manufacturing on Grade 5 Titanium Substrate: Layer Formation, Oxidation Resistance, and Wear Resistance","year":2023,"lang":"en","type":"article","venue":"Metals","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Science and Technology Commission of Shanghai Municipality; Natural Science Foundation of Shanghai","keywords":"Materials science; Microstructure; Titanium; Layer (electronics); Metallurgy; Substrate (aquarium); Martensite; Acicular; Composite material; Metal; Carbide","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":[0.0002743085,0.0002422109,0.0002635941,0.0001510887,0.0001491615,0.0001282086,0.0001064543,0.00008178603,0.0002042025],"category_scores_gemma":[0.00004353336,0.0002245259,0.00004644203,0.0001582455,0.00003639868,0.0005309405,0.00002816817,0.0001167214,0.0003066028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004730036,"about_ca_system_score_gemma":0.000007299107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002286092,"about_ca_topic_score_gemma":0.00009749279,"domain_scores_codex":[0.9988664,0.00005587621,0.0002910058,0.0002527025,0.0002323828,0.0003016201],"domain_scores_gemma":[0.9994829,0.0001495865,0.00007951691,0.0001857895,0.00003361319,0.00006855807],"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":[0.00140586,0.0001993481,0.00005768539,0.007948346,0.001636418,0.0002435397,0.005523301,0.03815667,0.5357609,0.008889046,0.3949675,0.005211363],"study_design_scores_gemma":[0.0002657171,0.00001535452,0.004521406,0.00007995582,0.00003355648,0.000001664482,0.0000872852,0.0001225675,0.9308313,0.001385744,0.06240407,0.0002514495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906036,0.000194445,0.001264624,0.0001439416,0.0003240293,0.0002925276,0.0002369597,0.0006376123,0.006302231],"genre_scores_gemma":[0.9933754,0.0003281046,0.0004693654,0.00003592142,0.000135566,0.00007857689,0.0002142019,0.00004870612,0.00531414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3950703,"threshold_uncertainty_score":0.91559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776186961241575,"score_gpt":0.2308691911151455,"score_spread":0.2131073215027297,"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."}}