{"id":"W3111954232","doi":"10.3390/jmmp4040119","title":"Laser Powder Bed Fusion with Intentionally-Seeded Porosity for Prototyping of Powder Metallurgy Parts","year":2020,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rio Tinto (Canada); École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microstructure; Materials science; Porosity; Powder metallurgy; Fusion; Scanning electron microscope; Metallurgy; Ultimate tensile strength; Rapid prototyping; Near net shape; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002825629,0.00022205,0.0002628631,0.0003178853,0.0001523112,0.0003514288,0.0002924624,0.0003031367,0.0004951559],"category_scores_gemma":[0.0004039952,0.0001696031,0.0002515818,0.0002129852,0.0003319378,0.0003391227,0.0002568494,0.0002719666,0.0001287772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003084365,"about_ca_system_score_gemma":0.0002155808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003245862,"about_ca_topic_score_gemma":0.0005414864,"domain_scores_codex":[0.9997917,0.00001645066,0.000009082111,0.00003232034,0.000123022,0.00002753738],"domain_scores_gemma":[0.9997615,0.00008519283,0.00007798975,0.00003257645,0.00002908309,0.00001364487],"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":[0.00005785498,0.00001713573,0.0001316544,0.00006795673,0.00000283062,0.00006488101,0.00003214392,0.002024002,0.9934197,0.0004359905,0.00002486623,0.003720945],"study_design_scores_gemma":[0.00001244612,0.0002054991,0.0007112907,0.000003503259,0.000005909944,0.0001230946,0.00001124785,0.007686649,0.9903429,0.00008236878,0.0008082202,0.000007008881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129961,0.0005102208,0.08438288,0.00003485586,0.00002782224,0.00006468765,0.000111184,0.0003456268,0.001526712],"genre_scores_gemma":[0.9750891,0.000115185,0.02433584,0.000004245287,0.000003174455,0.00002474763,0.00003108177,0.00002071636,0.0003758509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004951559,"threshold_uncertainty_score":0.002237916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703891646017519,"score_gpt":0.218492935326685,"score_spread":0.2014540188665098,"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."}}