{"id":"W7071363533","doi":"","title":"Solar capacity has increased 99% since last quarter - NationofChange","year":2016,"lang":"en","type":"other","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Gloom; Solar energy; Climate change","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":[0.0005782836,0.0003808402,0.0001789551,0.000895369,0.0005665513,0.00139676,0.0005858643,0.0005029661,0.0578451],"category_scores_gemma":[0.002059167,0.0001209927,0.0005237642,0.001673162,0.0003330053,0.001018326,0.001783247,0.0007678315,0.01608888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447076,"about_ca_system_score_gemma":0.001231908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009860107,"about_ca_topic_score_gemma":0.01893501,"domain_scores_codex":[0.9996367,0.00002801373,0.00001750528,0.00005791878,0.0002027557,0.00005724253],"domain_scores_gemma":[0.9991649,0.00008847476,0.00009158408,0.00009924562,0.0004149369,0.0001408194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000336276,0.0001243705,0.0295711,0.0005612549,0.0000754108,0.0001961771,0.0002122619,0.001439784,0.00416979,0.0182168,0.3679366,0.5771602],"study_design_scores_gemma":[0.000008391831,0.00001385153,0.01853932,0.00003829745,0.000009470078,0.0001065295,0.00008214312,0.0003522846,0.002240568,0.001207017,0.977394,0.000008158564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07457048,0.006075043,0.008026501,0.01119209,0.003227711,0.0001048071,0.05992199,0.006512676,0.8303687],"genre_scores_gemma":[0.3448729,0.007743523,0.009724843,0.003035373,0.0013436,0.0001247459,0.05341719,0.002377226,0.5773606],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0578451,"threshold_uncertainty_score":0.1935111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143070436931767,"score_gpt":0.2368356162804327,"score_spread":0.225404911911115,"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."}}