{"id":"W4388165060","doi":"10.1016/j.jmapro.2023.10.064","title":"Development of highly filled nickel-polymer feedstock from recycled and biodegradable resources for low-cost material extrusion additive manufacturing of metals","year":2023,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Extrusion; Raw material; Composite material; Rheology; Polymer; Nickel; Polylactic acid; 3D printing; Metal injection molding; Plastics extrusion; Sintering; Metallurgy","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":[0.0001134988,0.0003825586,0.0003060487,0.0003819351,0.000211563,0.0004818267,0.0003545582,0.0003514703,0.001025114],"category_scores_gemma":[0.000193605,0.0001961181,0.0003439973,0.0004370435,0.000146252,0.0005789103,0.000380646,0.0005110789,0.0007579438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725727,"about_ca_system_score_gemma":0.0004772074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004491026,"about_ca_topic_score_gemma":0.002160352,"domain_scores_codex":[0.9998792,0.000007793838,0.00001129867,0.00002502133,0.0000519365,0.00002465778],"domain_scores_gemma":[0.9999268,0.000009764908,0.00001972035,0.000008763875,0.00001822819,0.00001677257],"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":[0.00005469425,0.00004051188,0.0001209717,0.0001522683,0.000007339676,0.0001654425,0.00002667263,0.000274198,0.9913981,0.0003510682,0.00007103388,0.007337742],"study_design_scores_gemma":[0.000004739732,0.0001264668,0.0004710179,0.000007761495,0.000009990757,0.00009164638,0.00001757373,0.0006969512,0.9958212,0.0000539706,0.002691954,0.000006708104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616107,0.001967199,0.02356816,0.000114788,0.0001045571,0.0001142677,0.0005173118,0.0004045864,0.01159845],"genre_scores_gemma":[0.9726192,0.001429671,0.0193163,0.00003321561,0.00001261574,0.0000557484,0.0004653256,0.00009680845,0.005971079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001025114,"threshold_uncertainty_score":0.003429353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862530120947906,"score_gpt":0.2304379076351597,"score_spread":0.2118126064256806,"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."}}