{"id":"W2758847029","doi":"","title":"A Q1 turnaround for feedstock producers","year":2014,"lang":"zh","type":"article","venue":"Industrial Minerals","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings before interest, taxes, depreciation, and amortization; Revenue; Agricultural economics; Business; Raw material; Commerce; Profit (economics); Agricultural science; Economics; Monetary economics; Finance; Environmental science; Geography; Chemistry","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003080036,0.0005222112,0.001311849,0.0003839526,0.00029965,0.000362602,0.0005632088,0.0007393533,0.0004517702],"category_scores_gemma":[0.003857301,0.0006490718,0.0004549493,0.0003490559,0.0001622605,0.0005419684,0.0001126732,0.0005879074,0.0007986341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014563,"about_ca_system_score_gemma":0.000161301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000691105,"about_ca_topic_score_gemma":0.00004884741,"domain_scores_codex":[0.9958888,0.0001050783,0.001530201,0.001414058,0.00005812715,0.001003776],"domain_scores_gemma":[0.9969656,0.0005278898,0.001102058,0.0009650051,0.00009279938,0.0003466177],"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":[0.001034373,0.0006848319,0.06404749,0.0003401598,0.0007627101,0.000003140282,0.0009193076,0.0003573777,0.0008175357,0.3966748,0.4900091,0.04434913],"study_design_scores_gemma":[0.004656262,0.0007528879,0.0008829134,0.00005969612,0.00006458212,0.000007322492,0.00003449286,0.001469225,0.0003483407,0.05903131,0.9317277,0.000965278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7794125,0.002451133,0.002287214,0.02325708,0.02101394,0.003973145,0.001743817,0.0001231801,0.165738],"genre_scores_gemma":[0.8923708,0.00006906051,0.000620659,0.0006765418,0.01636157,0.0002103877,0.00009399751,0.0001060866,0.08949096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4417186,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031260458691067,"score_gpt":0.2484130611709019,"score_spread":0.1452870153017951,"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."}}