{"id":"W4367159418","doi":"10.1021/cen-09917-buscon3","title":"First-quarter chemical earnings please","year":2021,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Chemical industry; Chemical company; Business; Economics; Finance; Engineering; Management; History","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008657603,0.0008124119,0.0003540797,0.001818086,0.002682169,0.006610967,0.0006459237,0.001922196,0.3184723],"category_scores_gemma":[0.006860174,0.0002486261,0.000374853,0.001553768,0.0003322604,0.002432275,0.001613197,0.002021262,0.1851428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906844,"about_ca_system_score_gemma":0.001983371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464635,"about_ca_topic_score_gemma":0.02290709,"domain_scores_codex":[0.9985505,0.00007201231,0.0000531029,0.0001123984,0.0009425811,0.0002695173],"domain_scores_gemma":[0.9957378,0.0002574248,0.0003742296,0.0002479231,0.002680909,0.0007016805],"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":[0.0000220501,0.00001416114,0.0005568299,0.0000265245,0.000001328332,0.00003060472,0.00003211957,0.000008339955,0.0001239276,0.001406778,0.9757397,0.02203766],"study_design_scores_gemma":[0.000004627747,0.00002130055,0.002520491,0.00003611619,0.000001853023,0.00003771796,0.0001641418,0.0000353356,0.0002936544,0.0002437668,0.99663,0.00001097077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00711775,0.003380034,0.0004107918,0.05118222,0.01895026,0.0001235063,0.01496398,0.002296996,0.9015745],"genre_scores_gemma":[0.02279888,0.002506102,0.0002901853,0.01126185,0.003195831,0.0000492884,0.005977993,0.0003442921,0.9535756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3184723,"threshold_uncertainty_score":0.9721165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771127727016793,"score_gpt":0.25555565424941,"score_spread":0.2378443769792421,"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."}}