{"id":"W4308908456","doi":"10.1007/s10845-022-02049-1","title":"Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system","year":2022,"lang":"en","type":"article","venue":"Journal of Intelligent Manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Process (computing); Computer science; Manufacturing engineering; 3D printing; Production (economics); Process engineering; Industry 4.0; Industrial engineering; Mechanical engineering; Engineering; Data mining","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04406378,0.001736477,0.01073085,0.04958117,0.001309328,0.004050241,0.002361154,0.001791561,0.002830882],"category_scores_gemma":[0.1534896,0.0009326601,0.01581374,0.0402201,0.002015053,0.002979078,0.003460046,0.0009788936,0.0003176278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004378267,"about_ca_system_score_gemma":0.02334286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008988626,"about_ca_topic_score_gemma":0.0250838,"domain_scores_codex":[0.9312285,0.02663691,0.02589594,0.003784673,0.01157487,0.0008790611],"domain_scores_gemma":[0.806513,0.1344036,0.03360427,0.006352368,0.01775442,0.001372417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0008449402,0.00009970542,0.0170406,0.7942761,0.1054178,0.0003660255,0.00124509,0.0008547117,0.0009614623,0.001131314,0.001669856,0.07609235],"study_design_scores_gemma":[0.0009853074,0.001239296,0.06306332,0.3555536,0.5378135,0.0009704013,0.002349215,0.001721615,0.00165348,0.003278994,0.03105905,0.000312247],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0316006,0.9562548,0.003546074,0.001007987,0.0002894195,0.002404514,0.003461083,0.00005580934,0.001379726],"genre_scores_gemma":[0.3692539,0.6064215,0.01211444,0.001644649,0.0003597425,0.005403452,0.004054747,0.0000591352,0.0006884009],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9504188,"threshold_uncertainty_score":0.2330343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010526580272865,"score_gpt":0.2209925817193186,"score_spread":0.2104660014464536,"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."}}