{"id":"W7128612721","doi":"10.26180/5090557","title":"Advanced manufacturing technology, planning and business performance","year":2017,"lang":"","type":"article","venue":"Monash University","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Scheduling (production processes); Order (exchange); Manufacturing; Product (mathematics); Regression analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033795,0.0002739548,0.0002188923,0.001016801,0.0003712302,0.001373578,0.0003016899,0.0002814606,0.003902533],"category_scores_gemma":[0.0078354,0.0001226322,0.0003092593,0.001958309,0.0006381205,0.000665846,0.0005907175,0.0005362429,0.0005216214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692007,"about_ca_system_score_gemma":0.001517269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05263234,"about_ca_topic_score_gemma":0.0548895,"domain_scores_codex":[0.9992297,0.0001957208,0.00003414394,0.00007312918,0.0003328199,0.0001345308],"domain_scores_gemma":[0.9936188,0.003277973,0.001629194,0.0002220005,0.000530626,0.0007213624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001399633,0.0001720087,0.9557711,0.00006619339,0.0001304023,0.0001248069,0.0006660722,0.005905914,0.0004523791,0.001681997,0.0002344214,0.03465478],"study_design_scores_gemma":[0.000002300772,0.0001498271,0.9954762,0.00001512408,0.00002406356,0.00003885746,0.0003625753,0.002525615,0.0002903801,0.0003223817,0.0007858831,0.000006872964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942245,0.0002555539,0.0004548721,0.00007168871,0.000002919772,0.00001091857,0.000129253,0.00000880699,0.004841543],"genre_scores_gemma":[0.9985756,0.0001236714,0.0003075488,0.000005781838,0.000002972732,0.000003462091,0.0001278433,0.000001393693,0.0008517398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05263234,"threshold_uncertainty_score":0.1046519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478175392225857,"score_gpt":0.2047511568088129,"score_spread":0.1899694028865543,"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."}}