{"id":"W7064034138","doi":"","title":"Alcoa Corporation Reports Third Quarter 2019 Results - Energy (ENERGY01) News","year":2019,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Corporation; Quarter (Canadian coin); Energy (signal processing); Energy consumption","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":[0.001425455,0.0009892178,0.0005565266,0.001913027,0.002640391,0.0100274,0.001003625,0.003556348,0.5071881],"category_scores_gemma":[0.003629282,0.0004367164,0.001239736,0.001275057,0.0007363977,0.002194009,0.001753443,0.003227899,0.4008147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003295104,"about_ca_system_score_gemma":0.005188686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03309581,"about_ca_topic_score_gemma":0.08565173,"domain_scores_codex":[0.9979108,0.000103015,0.00003825008,0.0001219637,0.001405534,0.0004204263],"domain_scores_gemma":[0.9977048,0.0002074447,0.00006606699,0.0001812372,0.001268263,0.0005723028],"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":[0.00004652734,0.00002497991,0.00006448153,0.00002200415,0.000002035875,0.00002800257,0.000005168526,0.00001611305,0.0001093426,0.001195759,0.9901763,0.008309244],"study_design_scores_gemma":[0.0000149064,0.00001659902,0.0003705349,0.00002040748,0.000002941222,0.00001813361,0.00003136221,0.00005724278,0.0002149559,0.0006032091,0.9986433,0.000006396556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001024986,0.0009340901,0.0005402815,0.01475039,0.01217043,0.0001104234,0.007616238,0.002604948,0.9602483],"genre_scores_gemma":[0.002202249,0.000273157,0.0002106756,0.002951089,0.0004972408,0.00001962704,0.00270611,0.0004814191,0.9906585],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5071881,"threshold_uncertainty_score":0.7029363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00900486985756054,"score_gpt":0.2372526141607909,"score_spread":0.2282477443032303,"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."}}