{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002282268,0.0003124983,0.0002830065,0.0007714572,0.003505322,0.000653772,0.0008163367,0.0001725421,0.0000905571],"category_scores_gemma":[0.00005625487,0.00037754,0.00004106454,0.0003912363,0.0004068172,0.002598725,0.002196897,0.0002940843,0.000200526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000099399,"about_ca_system_score_gemma":0.00002279885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004916361,"about_ca_topic_score_gemma":0.00002271498,"domain_scores_codex":[0.9986265,0.00000595046,0.0001952984,0.0005382309,0.0001874495,0.0004465409],"domain_scores_gemma":[0.998443,0.000009151076,0.000517996,0.0006734107,0.0003349524,0.00002147085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004714594,0.0002484465,0.4688963,0.002623625,0.0002484948,0.0004699198,0.0002465583,0.0001658135,0.0002941827,0.1730615,0.001810684,0.351463],"study_design_scores_gemma":[0.002243089,0.00001684242,0.4618531,0.0005874543,0.0001444112,0.000002936284,0.003104626,0.003838499,0.0005043808,0.000627887,0.526355,0.0007218265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6521285,0.0001886805,0.0001127293,0.001860874,0.0006824778,0.0002381154,0.000002091117,0.0001228462,0.3446637],"genre_scores_gemma":[0.986288,0.000172984,0.0002478071,0.0001774778,0.0002539423,7.607309e-7,0.000008716169,0.00002236652,0.01282792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5245443,"threshold_uncertainty_score":0.9998677,"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."}}