{"id":"W7055454643","doi":"","title":"Clean Energy Market to 2025 – Global Analysis and Forecasts by Enel Green Power, Canadian Solar, Pacific Ethanol, Shenzhen Energy Group","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":"Energy (signal processing); Clean energy; Renewable energy; Group (periodic table); Global warming; Energy market","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":[0.0004718888,0.000736143,0.0002924119,0.001743455,0.0003260958,0.001501995,0.0004599769,0.0006900902,0.02011507],"category_scores_gemma":[0.0009004244,0.0002353076,0.0004752013,0.00266792,0.000200738,0.001294521,0.000587152,0.001080823,0.006984567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00304104,"about_ca_system_score_gemma":0.003532994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1733065,"about_ca_topic_score_gemma":0.1987044,"domain_scores_codex":[0.9998078,0.000009102479,0.0000057492,0.00002023991,0.0001244948,0.00003261822],"domain_scores_gemma":[0.9996437,0.00002631464,0.00003638749,0.00001030492,0.0002203621,0.00006305827],"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":[0.0001920909,0.00005460403,0.003834141,0.0001403254,0.00002506213,0.00007765779,0.00002614406,0.009468066,0.0003316758,0.009582232,0.9329475,0.04332057],"study_design_scores_gemma":[0.00006761269,0.00003876288,0.02386622,0.0001999782,0.00003482442,0.00004379769,0.0002407188,0.03029045,0.001574552,0.009716854,0.9338743,0.00005194076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04136553,0.006055797,0.006745893,0.02889087,0.00544704,0.0001588118,0.5680471,0.002811952,0.340477],"genre_scores_gemma":[0.2218681,0.01060689,0.01146073,0.003085833,0.0009401052,0.0002444911,0.3162638,0.001372327,0.4341578],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1733065,"threshold_uncertainty_score":0.3445956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004839564343591171,"score_gpt":0.2178618920422958,"score_spread":0.2130223276987047,"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."}}