{"id":"W7036517980","doi":"","title":"Canadian rivers: Solution to Northeast's high energy prices?","year":2015,"lang":"en","type":"other","venue":"","topic":"Vocational Education and Training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"High energy; Energy (signal processing); Field (mathematics); Work (physics); Production (economics)","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":[0.001322408,0.0004925801,0.0002880157,0.001540569,0.007636158,0.007047527,0.001945722,0.004522683,0.06423932],"category_scores_gemma":[0.004637552,0.0002927891,0.0006912378,0.003225404,0.001638688,0.002382803,0.002333549,0.003176596,0.003863298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03566749,"about_ca_system_score_gemma":0.1444598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776402,"about_ca_topic_score_gemma":0.99301,"domain_scores_codex":[0.9986416,0.00006981567,0.00002453429,0.00009543762,0.0006033121,0.0005653254],"domain_scores_gemma":[0.9975677,0.0001385548,0.00005778005,0.00008208796,0.001296209,0.0008576187],"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":[0.00002876171,0.00002348902,0.002376637,0.0001081661,0.00001297598,0.0002178873,0.0003573101,0.0002913944,0.0002170914,0.06785649,0.882509,0.04600085],"study_design_scores_gemma":[0.00001504195,0.000005764941,0.004360058,0.0001375482,0.00001512244,0.00006458802,0.00128074,0.0003217759,0.0001447438,0.005167088,0.9884651,0.00002246038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01341782,0.007983717,0.002045156,0.3259577,0.003378948,0.0001065714,0.005428693,0.0008319918,0.6408494],"genre_scores_gemma":[0.1495654,0.01394365,0.008220309,0.06132625,0.0009392845,0.00008729102,0.002951217,0.0005703582,0.7623963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06423932,"threshold_uncertainty_score":0.258787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207813012755398,"score_gpt":0.3090188264379958,"score_spread":0.2769406963104418,"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."}}