{"id":"W2340425579","doi":"10.1541/ieejias.136.nl2_11","title":"Conference Report: IEEE Energy Conversion Congress & Expo 2015 (ECCE2015) September 20-24, 2015, Montreal, Canada","year":2016,"lang":"en","type":"article","venue":"IEEJ Transactions on Industry Applications","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Telecommunications; Electrical engineering; Environmental science; Engineering","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":[0.002644073,0.001012664,0.0007798924,0.001528664,0.002093669,0.003764863,0.00119101,0.0009818784,0.2763858],"category_scores_gemma":[0.001243195,0.0002925358,0.0005766145,0.001530215,0.0006479627,0.001746081,0.001387669,0.001115023,0.06808962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003254472,"about_ca_system_score_gemma":0.00863961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1448074,"about_ca_topic_score_gemma":0.3517734,"domain_scores_codex":[0.9993275,0.00004915061,0.00001730757,0.00006133353,0.0003910633,0.0001536806],"domain_scores_gemma":[0.9981101,0.00007780838,0.00002401406,0.00009071494,0.001454544,0.0002427671],"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":[0.0001088665,0.00007906835,0.0007259031,0.0001106727,0.00001583193,0.00004859423,0.00003384359,0.000641796,0.001259985,0.001332096,0.941574,0.05406929],"study_design_scores_gemma":[0.00002662788,0.00006747447,0.003290159,0.0001100695,0.00002402936,0.00005197238,0.0001743082,0.001535096,0.003407888,0.0009882005,0.9902975,0.00002666628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02013208,0.01845409,0.04634191,0.02211375,0.0425001,0.00139578,0.02687342,0.004810967,0.817378],"genre_scores_gemma":[0.02791085,0.003240883,0.003685648,0.0005308651,0.00101285,0.0001118308,0.01091087,0.0005267133,0.9520695],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8551926,"threshold_uncertainty_score":0.9246026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03108933818571264,"score_gpt":0.2750083273326839,"score_spread":0.2439189891469712,"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."}}