{"id":"W4381947905","doi":"10.1111/jpim.12673","title":"Transitioning additive manufacturing from rapid prototyping to high‐volume production: A case study of complex final products","year":2023,"lang":"en","type":"article","venue":"Journal of Product Innovation Management","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"New product development; Product (mathematics); Computer science; Manufacturing engineering; Production (economics); Product design; Process management; Rapid prototyping; Factory (object-oriented programming); Advanced manufacturing; Systems engineering; Business; Knowledge management; Engineering management; Engineering; Marketing; Mechanical engineering","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":[0.008114098,0.0004092075,0.0002533974,0.001449593,0.005066143,0.003536989,0.001568723,0.001611452,0.002561095],"category_scores_gemma":[0.0131777,0.0004132093,0.000401971,0.001459445,0.004129079,0.002196027,0.002280807,0.001661882,0.000393743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002882385,"about_ca_system_score_gemma":0.002226492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00480647,"about_ca_topic_score_gemma":0.01177082,"domain_scores_codex":[0.9943166,0.003829613,0.0001717733,0.0002848301,0.0009246291,0.000472547],"domain_scores_gemma":[0.9819666,0.012798,0.001494683,0.001361292,0.001348541,0.00103087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000621611,0.007517575,0.1389376,0.0009165393,0.00008485455,0.05738398,0.5863657,0.009004844,0.01642775,0.04647798,0.006033221,0.1302284],"study_design_scores_gemma":[0.0001699796,0.004085157,0.08343531,0.0007267884,0.0000894046,0.01392122,0.7333898,0.01773589,0.02674912,0.01197119,0.1074889,0.000237241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923909,0.0001102547,0.002586731,0.0004148533,0.00000898755,0.0001268551,0.00003666489,0.00001104185,0.004313808],"genre_scores_gemma":[0.9909942,0.0001717855,0.006844484,0.00009633141,0.000007574046,0.0001110105,0.00003580021,0.00001019442,0.001728512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008114098,"threshold_uncertainty_score":0.04291195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05631083796624948,"score_gpt":0.2689242838862993,"score_spread":0.2126134459200498,"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."}}