{"id":"W4384929751","doi":"10.3390/app13148383","title":"Recent Progress in Hybrid Additive Manufacturing of Metallic Materials","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; New Brunswick Innovation Foundation","keywords":"Manufacturing engineering; Computer science; Process engineering; Mechanical engineering; Materials science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038947,0.0001285016,0.0002187705,0.000180248,0.0000565073,0.00005343259,0.0002276129,0.00002642546,0.0004300892],"category_scores_gemma":[0.000008949364,0.0001074657,0.0000151693,0.0002852494,0.0001945994,0.0001035658,0.00006148073,0.00004275695,0.00009837851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001580827,"about_ca_system_score_gemma":0.00001517405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000318203,"about_ca_topic_score_gemma":0.000003811949,"domain_scores_codex":[0.9990583,0.00001418334,0.0002371547,0.0002034185,0.0001964229,0.0002905048],"domain_scores_gemma":[0.9997475,0.00007351771,0.00005069521,0.00008678569,0.00001124644,0.00003021976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001198452,0.0001466043,0.0004573481,0.001828272,0.0001526039,0.0001115761,0.002920335,0.01359279,0.4499926,0.01194865,0.005973428,0.5127559],"study_design_scores_gemma":[0.00008904102,0.00001527243,0.004417591,0.00003026703,0.000003408783,0.000001192033,0.0001171237,0.00004756913,0.9881423,0.002698828,0.004306428,0.0001309527],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952001,0.0001500351,0.00001722982,0.00002821485,0.0002640778,0.0001693125,0.00008018734,0.0002093854,0.00388144],"genre_scores_gemma":[0.999107,0.0004909395,0.0002004178,0.00001037686,0.00004939713,0.00008789297,0.00002541136,0.00001356661,0.00001499364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5381497,"threshold_uncertainty_score":0.4709176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068721999506696,"score_gpt":0.2438496081499902,"score_spread":0.2231623881549233,"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."}}