{"id":"W6977004278","doi":"10.6068/dp15e7301e80f87","title":"Trend 2009 - 2015. Energy Information Administration. International Energy Statistics: Electricity | Country: Canada | Category: Generation | Series: Solar | Units: Btu, 2009-2015. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-003.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Administration (probate law); Energy policy; Electricity; Agency (philosophy); Energy (signal processing); International comparisons; Solar energy; Electricity generation","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":[0.001402656,0.001891226,0.002116029,0.005558266,0.001787271,0.004450403,0.003546718,0.001235891,0.06761733],"category_scores_gemma":[0.01227088,0.001207148,0.001422163,0.02813602,0.0005412313,0.00284752,0.001777696,0.002884968,0.07128572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0166706,"about_ca_system_score_gemma":0.03661637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9212244,"about_ca_topic_score_gemma":0.9090934,"domain_scores_codex":[0.9977253,0.000160028,0.000260179,0.0003406,0.001068701,0.000445122],"domain_scores_gemma":[0.9836585,0.0007064288,0.0005682853,0.0008952635,0.01355176,0.0006197927],"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":[0.00001606502,0.000005870617,0.0005077639,0.0001424556,0.00001289629,0.000003869916,0.000008364441,0.0001066428,0.000009741464,0.0003125772,0.9978439,0.001029879],"study_design_scores_gemma":[0.00008324407,0.000006726453,0.009230211,0.0004336216,0.00002619244,0.00001224709,0.0001880324,0.0003777108,0.000182775,0.0007433147,0.9886734,0.0000425574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003026472,0.00002280446,0.00001723311,0.00005416216,0.00002175238,0.000006520788,0.9992576,0.00004906367,0.0005404686],"genre_scores_gemma":[0.0002433784,0.00007181426,0.0001291405,0.00003905025,0.000008445869,0.00003614459,0.998287,0.00004680688,0.001138189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07877558,"threshold_uncertainty_score":0.2262025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960586004018072,"score_gpt":0.2732480526037456,"score_spread":0.2436421925635648,"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."}}