{"id":"W7049112085","doi":"","title":"National Instruments Controlling Renewables in Canada","year":2013,"lang":"en","type":"other","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Government (linguistics); Production (economics); Control (management)","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":[0.0008220992,0.0006371326,0.0003380022,0.001977876,0.003437772,0.002286066,0.0009595458,0.0005886332,0.04100733],"category_scores_gemma":[0.001164528,0.0002324757,0.000243506,0.002617299,0.0005750561,0.0007212376,0.0007695011,0.0007822567,0.009012308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02115568,"about_ca_system_score_gemma":0.04640162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9627787,"about_ca_topic_score_gemma":0.9781178,"domain_scores_codex":[0.9983333,0.00003179049,0.00002011225,0.0001032098,0.001186188,0.0003255001],"domain_scores_gemma":[0.9982229,0.00005426042,0.00004814065,0.00006870381,0.001461353,0.0001445098],"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":[0.0002106919,0.0001286394,0.008596736,0.0002574748,0.00001891495,0.0002393141,0.0003182645,0.003404981,0.005383164,0.03984184,0.6215249,0.320075],"study_design_scores_gemma":[0.00002953556,0.00002259427,0.01593267,0.00008983923,0.00001240653,0.0000634114,0.0003348119,0.002626249,0.005126054,0.001395029,0.9743388,0.00002856756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01700221,0.002907354,0.00670147,0.002770481,0.0006666449,0.0001897841,0.01021399,0.001918706,0.9576294],"genre_scores_gemma":[0.06454703,0.001865324,0.005294874,0.0002365891,0.00006015204,0.0000385466,0.003947229,0.0002999816,0.9237103],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04100733,"threshold_uncertainty_score":0.153496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004982304526286243,"score_gpt":0.1752744341133357,"score_spread":0.1702921295870495,"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."}}