{"id":"W7065815897","doi":"","title":"Exxon signals fourth quarter weakness in chemicals and refining, offset by asset sale","year":2020,"lang":"en","type":"other","venue":"","topic":"American Jewish Fiction Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Offset (computer science); Quarter (Canadian coin); Asset (computer security); Weakness","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":[0.001316843,0.0004240205,0.0002989652,0.001582485,0.001838664,0.003464722,0.0009084647,0.003328223,0.05830265],"category_scores_gemma":[0.006175664,0.0002721279,0.0003280728,0.0008683425,0.0006909184,0.001548521,0.001207986,0.00248791,0.01131864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003308027,"about_ca_system_score_gemma":0.003266716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03131953,"about_ca_topic_score_gemma":0.06419423,"domain_scores_codex":[0.9986745,0.00008859416,0.00003399008,0.00009307301,0.0008662003,0.0002436252],"domain_scores_gemma":[0.9978905,0.0004919788,0.0002475051,0.0001782913,0.0009904311,0.0002011955],"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":[0.0004298216,0.0001979125,0.01080082,0.0001206115,0.0000191741,0.0008707732,0.0002630686,0.0004722977,0.001697165,0.09068447,0.8340042,0.06043961],"study_design_scores_gemma":[0.00006391311,0.0001582761,0.04349747,0.0001791723,0.00003750041,0.0002641554,0.0009748244,0.002244317,0.005106066,0.01261726,0.9348156,0.00004139248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04686726,0.0003747858,0.00062553,0.0156222,0.0008035359,0.00006635085,0.005748143,0.0004082145,0.9294839],"genre_scores_gemma":[0.1629359,0.0003623893,0.0006017758,0.006797367,0.0003788037,0.00006302325,0.002328245,0.0001776671,0.8263548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05830265,"threshold_uncertainty_score":0.1950418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579917506652261,"score_gpt":0.2232905886504336,"score_spread":0.207491413583911,"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."}}