{"id":"W3164762137","doi":"10.3390/ma14112945","title":"Process–Structure–Property Relationships of Copper Parts Manufactured by Laser Powder Bed Fusion","year":2021,"lang":"en","type":"article","venue":"Materials","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Laser; Copper; X-ray photoelectron spectroscopy; Laser power scaling; Surface roughness; Analytical Chemistry (journal); Power density; Scanning electron microscope; Energy-dispersive X-ray spectroscopy; Electrical resistivity and conductivity; Composite material; Optics; Metallurgy; Power (physics); Chemistry; Nuclear magnetic resonance; Electrical engineering","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":[0.000529206,0.0003470742,0.0003849025,0.000862519,0.0002320244,0.0004284122,0.0003410844,0.00042332,0.0006213514],"category_scores_gemma":[0.001058198,0.0002882231,0.0004012572,0.0009040172,0.0003293872,0.0003605185,0.0001526105,0.0002588738,0.0001690304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004888708,"about_ca_system_score_gemma":0.0001685201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006367469,"about_ca_topic_score_gemma":0.001019642,"domain_scores_codex":[0.9996353,0.00004405235,0.00002403221,0.00005724917,0.0001948891,0.00004442157],"domain_scores_gemma":[0.9994065,0.0001922117,0.000199324,0.0000485783,0.0001392504,0.00001414186],"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":[0.0001440855,0.00002131093,0.001485025,0.0001192924,0.00001860913,0.0001483684,0.0000834071,0.001751077,0.9891182,0.00009791889,0.00005792397,0.00695481],"study_design_scores_gemma":[0.000004514318,0.0003400636,0.01356426,0.000004634998,0.0000316491,0.0001898417,0.00003927496,0.004208492,0.9810575,0.00003022484,0.0005198531,0.000009537028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953561,0.0006813598,0.003110511,0.00001758634,0.000007336477,0.00001419155,0.0001073067,0.00004987972,0.0006557109],"genre_scores_gemma":[0.9977031,0.0002029669,0.001693479,0.000005605342,0.000002628802,0.000009432895,0.0000744512,0.000009987077,0.000298265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000862519,"threshold_uncertainty_score":0.003547072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353995434993723,"score_gpt":0.2114144972272156,"score_spread":0.1978745428772784,"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."}}