{"id":"W7048853496","doi":"","title":"Manufacturing Sector Plods Along","year":2016,"lang":"en","type":"article","venue":"Chapman University Digital Commons (Chapman University)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Manufacturing sector; Commodity; Pace; Purchasing","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"],"consensus_categories":[],"category_scores_codex":[0.00004217904,0.0003899184,0.0003818277,0.000363177,0.0003218268,0.00005509362,0.0008688411,0.0002494393,0.0004812924],"category_scores_gemma":[0.00005441679,0.0003866505,0.0003337271,0.0004106808,0.0003539269,0.001045305,0.0005346559,0.0003387728,0.0003790147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000560853,"about_ca_system_score_gemma":0.00004015238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004443334,"about_ca_topic_score_gemma":0.00003664899,"domain_scores_codex":[0.998242,0.00003011993,0.00018718,0.0006044598,0.0002813677,0.0006549376],"domain_scores_gemma":[0.9984592,0.0002677188,0.00009961635,0.0005702843,0.00007614468,0.0005270539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004429482,0.002834058,0.04201578,0.001180721,0.004422402,0.022252,0.003316363,0.002195301,0.2222758,0.6421176,0.01132865,0.04163178],"study_design_scores_gemma":[0.007774605,0.00030502,0.003064351,0.0005881459,0.0004319497,0.0001327863,0.005780651,0.002181816,0.1571101,0.001125226,0.8177192,0.00378609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8142416,0.000009769547,0.006246142,0.0003607945,0.00007145389,0.0001131402,0.0001967867,0.0005926884,0.1781676],"genre_scores_gemma":[0.9254392,0.00001738358,0.00005813015,0.00002181024,0.00009305275,2.184204e-8,0.00002914838,0.00003593794,0.07430532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8063906,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470041475975636,"score_gpt":0.1693559607421264,"score_spread":0.15465554598237,"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."}}