{"id":"W4406436750","doi":"10.3390/machines13010062","title":"The Integration of Additive Manufacturing into Industry 4.0 and Industry 5.0: A Bibliometric Analysis (Trends, Opportunities, and Challenges)","year":2025,"lang":"en","type":"article","venue":"Machines","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Manufacturing; Business; Industry 4.0; Manufacturing engineering; Engineering; Computer science; Marketing; Data mining","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00856577,0.0005409562,0.001338157,0.1883945,0.002263959,0.01035833,0.0008554824,0.0009204004,0.005872357],"category_scores_gemma":[0.04958507,0.0004101995,0.001190744,0.2823687,0.002177659,0.008096698,0.004194059,0.0009248745,0.001251021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004913535,"about_ca_system_score_gemma":0.01047289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206025,"about_ca_topic_score_gemma":0.01481999,"domain_scores_codex":[0.9869332,0.002133285,0.002824517,0.001057929,0.00635409,0.0006968962],"domain_scores_gemma":[0.9386252,0.03566476,0.009741531,0.002335001,0.01262915,0.001004362],"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":[0.0001798275,0.00008873874,0.1759312,0.03501292,0.0007063007,0.0008174945,0.01742037,0.001141838,0.001925027,0.06936716,0.05206408,0.645345],"study_design_scores_gemma":[0.00002198704,0.00009817338,0.3285713,0.02311319,0.0009244413,0.001838334,0.03403422,0.00237762,0.001712996,0.01731883,0.5898186,0.0001702767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3431353,0.4066922,0.009090991,0.02162323,0.001220343,0.0007580744,0.04934258,0.0008459391,0.1672914],"genre_scores_gemma":[0.658856,0.2804155,0.01831574,0.001681226,0.001108081,0.0009322333,0.03120778,0.0002592839,0.007224112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8116055,"threshold_uncertainty_score":0.04530066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04217952987392653,"score_gpt":0.2717826808761279,"score_spread":0.2296031510022014,"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."}}