{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002521418,0.0003750099,0.0002713449,0.0003056268,0.0001441992,0.0003504239,0.0004335077,0.0003661538,0.0007917797],"category_scores_gemma":[0.0004016071,0.0003091923,0.0003233264,0.0002878963,0.000158166,0.0002188167,0.0001662896,0.0003123802,0.000223514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002194324,"about_ca_system_score_gemma":0.000153304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005122369,"about_ca_topic_score_gemma":0.001867111,"domain_scores_codex":[0.9996721,0.00001922105,0.00002549461,0.0000634506,0.0001838822,0.00003588677],"domain_scores_gemma":[0.9996537,0.00006322341,0.0001121972,0.00006674966,0.00008297279,0.0000210968],"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":[0.00001763289,0.000006185348,0.000152815,0.00003679249,0.000004259804,0.00003089511,0.00001930091,0.00007884332,0.9983266,0.00001184619,0.00001193703,0.001302773],"study_design_scores_gemma":[0.000002024839,0.0001140979,0.003106304,0.000002188171,0.0000137516,0.00006672074,0.00001486239,0.0004901179,0.995812,0.000004849588,0.0003680607,0.000004939855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945419,0.0005724137,0.004016379,0.00001345743,0.00002385275,0.00001685555,0.00005628037,0.00006600104,0.0006929856],"genre_scores_gemma":[0.9896191,0.0002471879,0.008783435,0.00001589182,0.00000605606,0.00001498673,0.00007509119,0.00002567771,0.001212575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007917797,"threshold_uncertainty_score":0.002648771,"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."}}