{"id":"W2944609927","doi":"10.1080/02670836.2019.1596370","title":"Overview of non-destructive evaluation techniques for metal-based additive manufacturing","year":2019,"lang":"en","type":"article","venue":"Materials Science and Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Quality (philosophy); Service (business); Manufacturing engineering; Order (exchange); Materials science; Computer science; Risk analysis (engineering); Business; Engineering; Marketing","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":[0.001278648,0.001191091,0.0008879492,0.003924266,0.0004335478,0.001782838,0.00148455,0.001407732,0.004548469],"category_scores_gemma":[0.0009378207,0.0009341135,0.000945383,0.002399153,0.0005993022,0.001660327,0.0007617123,0.001379441,0.003718822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008012204,"about_ca_system_score_gemma":0.0006868683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007163392,"about_ca_topic_score_gemma":0.0009159296,"domain_scores_codex":[0.9981539,0.0001693137,0.0001124955,0.0002872938,0.001214452,0.00006260419],"domain_scores_gemma":[0.999119,0.0003128937,0.00009492813,0.00008163207,0.0003621684,0.00002934148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001246577,0.0001591307,0.0008301727,0.007290114,0.00009326261,0.0003696173,0.0002083062,0.003101633,0.1425371,0.01573009,0.009717844,0.8198381],"study_design_scores_gemma":[0.00001784579,0.0004875118,0.003634393,0.001583149,0.0001452828,0.005380665,0.0001794706,0.02015665,0.1585584,0.01218352,0.7974458,0.0002272721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.005590544,0.3713086,0.5868405,0.0007297032,0.000810163,0.0003832122,0.0004711904,0.001428434,0.03243766],"genre_scores_gemma":[0.05428644,0.325912,0.5900261,0.0007109749,0.000945623,0.0004969437,0.001030672,0.0003572811,0.026234],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004548469,"threshold_uncertainty_score":0.01521611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689292708310397,"score_gpt":0.2725809677994079,"score_spread":0.2556880407163039,"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."}}