{"id":"W7053014591","doi":"","title":"UPDATE 1-Wind turbine maker Nordex raises forecasts after strong first quarter","year":2014,"lang":"en","type":"other","venue":"","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Turbine; Quarter (Canadian coin); Work (physics)","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":[0.002654921,0.0009341639,0.0006738359,0.001631589,0.001062725,0.004381683,0.001052961,0.004158131,0.1539447],"category_scores_gemma":[0.01193221,0.0004282597,0.0005882787,0.000865451,0.0003979548,0.002469733,0.001146253,0.003533147,0.112431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720053,"about_ca_system_score_gemma":0.003299044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903861,"about_ca_topic_score_gemma":0.04278033,"domain_scores_codex":[0.9982869,0.0001228162,0.00006116271,0.0000939508,0.001275297,0.0001598748],"domain_scores_gemma":[0.9924717,0.0008789905,0.0003971993,0.0003053184,0.005197474,0.0007493866],"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":[0.00006169322,0.00001311164,0.0003291377,0.00002555008,0.000001659038,0.00002761584,0.000009867498,0.0001974042,0.0001182306,0.0004393519,0.985122,0.01365442],"study_design_scores_gemma":[0.00002546829,0.00003021216,0.00200406,0.00007118296,0.00000588043,0.00001958166,0.00004537044,0.001004543,0.0003814907,0.00134881,0.9950454,0.00001805856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006397707,0.002091215,0.01101762,0.05833488,0.05767986,0.0007386539,0.06944221,0.01657337,0.7777246],"genre_scores_gemma":[0.01926612,0.0008491487,0.005586457,0.007051119,0.005278036,0.0003529086,0.02410471,0.002458035,0.9350535],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1539447,"threshold_uncertainty_score":0.5149963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004088888340981763,"score_gpt":0.2676986173282228,"score_spread":0.263609728987241,"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."}}