{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00125725,0.0005824699,0.0002152581,0.001026623,0.001634291,0.00202122,0.0007363194,0.001513351,0.1122061],"category_scores_gemma":[0.003655311,0.0003581817,0.0008650874,0.0006137418,0.0004732713,0.001378857,0.001299473,0.001378421,0.02732126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003801606,"about_ca_system_score_gemma":0.004643957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03622471,"about_ca_topic_score_gemma":0.03571263,"domain_scores_codex":[0.9990292,0.00005713931,0.00002788713,0.0001918028,0.0003374344,0.0003566116],"domain_scores_gemma":[0.9973254,0.0002670024,0.0002518431,0.0001316766,0.001187979,0.0008360678],"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":[0.002170647,0.0009179769,0.06476341,0.0003809897,0.00003604161,0.0008994004,0.0006039889,0.001869851,0.02481291,0.01190932,0.638072,0.2535635],"study_design_scores_gemma":[0.0002636696,0.001755713,0.2527719,0.0001209835,0.00003261926,0.0006435255,0.002327916,0.002438793,0.008941174,0.00266459,0.7279139,0.0001253442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4600892,0.001013212,0.0178805,0.02975104,0.006568815,0.001404882,0.02714708,0.007894727,0.4482506],"genre_scores_gemma":[0.5537215,0.0006006463,0.006180668,0.008154814,0.0006131382,0.0004504371,0.01383035,0.0005270632,0.4159212],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1122061,"threshold_uncertainty_score":0.3753667,"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."}}