{"id":"W4311899353","doi":"10.1088/1742-6596/2373/7/072035","title":"The concept of using additive technologies for digital prototyping of assembly devices","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Rapid prototyping; Electronics; Manufacturing engineering; Virtual prototyping; Computer science; Process (computing); Systems engineering; Design for assembly; Production (economics); Engineering; Simulation; Mechanical engineering; Design for manufacturability","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":[0.002424226,0.0008982063,0.0005679955,0.002715035,0.0009305373,0.005022182,0.001485054,0.001416694,0.006992387],"category_scores_gemma":[0.003080478,0.0006737858,0.0007955889,0.001112999,0.005113196,0.002873226,0.002822641,0.00203233,0.00182118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000794054,"about_ca_system_score_gemma":0.0009054646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002926409,"about_ca_topic_score_gemma":0.0002255135,"domain_scores_codex":[0.9956737,0.001236318,0.0002573298,0.0003503835,0.002322227,0.0001600069],"domain_scores_gemma":[0.99717,0.001316899,0.000233142,0.0006466595,0.0005286536,0.0001047158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007342727,0.00004695219,0.0002210172,0.0006409916,0.00002554008,0.0003381156,0.0005688025,0.006580711,0.02814651,0.8425717,0.002521783,0.1182646],"study_design_scores_gemma":[0.00007328363,0.000775489,0.0008506618,0.0008271129,0.0001317535,0.004306824,0.0003227697,0.03799244,0.1002356,0.2105433,0.6437452,0.0001955442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009058075,0.006116595,0.889466,0.0009718707,0.001213925,0.000216555,0.00007999327,0.0007702432,0.09210688],"genre_scores_gemma":[0.2007011,0.006008183,0.7555344,0.000671449,0.0005510414,0.0005906452,0.00007893383,0.0002114866,0.03565279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006992387,"threshold_uncertainty_score":0.0233919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554385192011743,"score_gpt":0.2469790229229783,"score_spread":0.2214351710028608,"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."}}