{"id":"W4297645027","doi":"10.4050/f-0078-2022-0068","title":"Manufacturing Innovation for Bell's Future Factory","year":2022,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Manufacturing engineering; Factory (object-oriented programming); Schedule; Digital manufacturing; Advanced manufacturing; Computer-integrated manufacturing; Quality (philosophy); Integrated Computer-Aided Manufacturing; Engineering; Production (economics); Manufacturing; Computer science; Business","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":[0.001580555,0.0006249641,0.0002275713,0.001086121,0.00320257,0.004373385,0.0006665921,0.001875009,0.1306766],"category_scores_gemma":[0.001426882,0.000310758,0.0004708967,0.0008296584,0.0005603003,0.002554888,0.002173858,0.002631234,0.04159909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004157796,"about_ca_system_score_gemma":0.005383342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005155985,"about_ca_topic_score_gemma":0.0103928,"domain_scores_codex":[0.9989454,0.00009136943,0.00002645134,0.0001366603,0.0006009787,0.0001990844],"domain_scores_gemma":[0.9990484,0.00006555206,0.0000466427,0.0001178981,0.0004194597,0.0003020146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004441468,0.0000789784,0.0004090387,0.0001067343,0.000005090238,0.0001243345,0.0001801382,0.0006759818,0.002734202,0.1932882,0.5286688,0.2736843],"study_design_scores_gemma":[0.000005873488,0.00003917648,0.0003029243,0.00004517557,0.000001924431,0.00006606742,0.00003909291,0.0005969879,0.0005119029,0.004768564,0.9936149,0.000007366695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00558664,0.009870937,0.03778652,0.04806185,0.00476873,0.0002285688,0.0006133974,0.003264242,0.8898191],"genre_scores_gemma":[0.06077196,0.009425826,0.05351951,0.006051873,0.00124942,0.0002241728,0.001040681,0.0004744037,0.8672423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1306766,"threshold_uncertainty_score":0.4371568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009764892546857053,"score_gpt":0.1999090542925788,"score_spread":0.1901441617457218,"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."}}