{"id":"W7028709870","doi":"","title":"GE Renewable Energy lossmaking in first quarter as investment in R&D ramps up","year":2019,"lang":"en","type":"other","venue":"","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Investment (military); Quarter (Canadian coin); Energy (signal processing); Production (economics)","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":[0.0009425436,0.0007091272,0.0002604212,0.0009170234,0.00110543,0.004934435,0.0005524276,0.002592381,0.1530701],"category_scores_gemma":[0.002263079,0.0001919154,0.0003961032,0.0007762357,0.0007340176,0.003106717,0.002128834,0.002008373,0.05910049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00389094,"about_ca_system_score_gemma":0.003735804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181628,"about_ca_topic_score_gemma":0.01912473,"domain_scores_codex":[0.9994314,0.00004864293,0.00001162923,0.00005772366,0.0003225942,0.0001278728],"domain_scores_gemma":[0.9992564,0.00008848463,0.00006036119,0.00007631927,0.0002647103,0.0002536437],"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":[0.00009805656,0.0000271785,0.0005285025,0.00007623715,0.000004736745,0.0001020522,0.00003930727,0.0004095273,0.001040464,0.04154951,0.8726092,0.08351522],"study_design_scores_gemma":[0.000005893359,0.00001127867,0.0008038492,0.00004673639,0.000001798198,0.00004902965,0.00008070389,0.0003207558,0.0008291095,0.006524521,0.9913202,0.000006201094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004928186,0.002816359,0.002585329,0.0379803,0.006170349,0.00004881038,0.004854641,0.00164545,0.9389706],"genre_scores_gemma":[0.03401734,0.002580257,0.001669568,0.004296365,0.0004486142,0.00003504632,0.002957657,0.0006856244,0.9533095],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1530701,"threshold_uncertainty_score":0.5120704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217610537230715,"score_gpt":0.2828058899422756,"score_spread":0.261044836219204,"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."}}