{"id":"W6983704383","doi":"","title":"North American Clean Energy - Nexans EHV Cable to Connect Canada's Grand Bend Wind Farm","year":2015,"lang":"en","type":"other","venue":"","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clean energy; Energy (signal processing); Wind power; Renewable energy; Energy source","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":[0.000306317,0.000317425,0.00013441,0.001044673,0.008752356,0.002677916,0.0006895544,0.001689002,0.1321066],"category_scores_gemma":[0.0006770484,0.0002468473,0.0001540293,0.00271796,0.001041292,0.0007982989,0.001188199,0.001472603,0.01366935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01135198,"about_ca_system_score_gemma":0.03716693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8985689,"about_ca_topic_score_gemma":0.9830571,"domain_scores_codex":[0.999674,0.00002232544,0.000004510024,0.00003336483,0.0001457035,0.0001201265],"domain_scores_gemma":[0.9994474,0.0000559273,0.0000180817,0.00002315086,0.0003058127,0.0001496112],"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":[0.00002398545,0.0000547749,0.003270356,0.0001014987,0.000002866864,0.0001928772,0.001356887,0.0001166858,0.000219193,0.0215048,0.9239464,0.04920973],"study_design_scores_gemma":[0.000004169036,0.000004550885,0.01040309,0.0001274535,0.000002088736,0.00003816691,0.002776618,0.00003349779,0.0001693405,0.0004309945,0.9860029,0.000007081064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007426084,0.002044255,0.0001355318,0.004859571,0.0002350883,0.00005883303,0.003578507,0.00007611876,0.981586],"genre_scores_gemma":[0.009894622,0.001243079,0.0001245586,0.0008074081,0.00002000112,0.00002856467,0.0005576626,0.00003617289,0.9872879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1321066,"threshold_uncertainty_score":0.4419407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0390196125161392,"score_gpt":0.2291461569654205,"score_spread":0.1901265444492813,"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."}}