{"id":"W7033485525","doi":"","title":"Powering Canada's Future: Securing jobs, investments, and savings by building more affordable and reliable clean electricity","year":2024,"lang":"en","type":"other","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Electricity; Mains electricity; Clean technology; Electricity retailing; Electricity generation; Government (linguistics)","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":[0.000438957,0.0004550998,0.0001744503,0.001369771,0.005805655,0.003400779,0.0007960268,0.002279265,0.09446836],"category_scores_gemma":[0.002280331,0.0001728416,0.0002828834,0.001626597,0.001256943,0.001084031,0.001600256,0.001729914,0.007807924],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02758772,"about_ca_system_score_gemma":0.1326365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9807412,"about_ca_topic_score_gemma":0.9956306,"domain_scores_codex":[0.999116,0.00002832778,0.00001059621,0.00002819748,0.0004937878,0.0003230434],"domain_scores_gemma":[0.9981104,0.0001036907,0.00004508146,0.00003785676,0.001045002,0.0006578964],"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":[0.00003350831,0.00006192207,0.004087298,0.0001313276,0.000008258402,0.0001630807,0.0002480679,0.0003086193,0.000319496,0.02004106,0.8647823,0.1098151],"study_design_scores_gemma":[0.00002330075,0.00002207787,0.0173431,0.0003080184,0.00001415001,0.0001194069,0.00215772,0.0005547192,0.0005571835,0.006003258,0.9728661,0.00003108055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01486523,0.005679271,0.0009053539,0.08806282,0.001402229,0.0001154424,0.00691037,0.0004739202,0.8815854],"genre_scores_gemma":[0.06602607,0.00769243,0.001756045,0.007850226,0.0002795861,0.00004998631,0.002058289,0.0001928516,0.9140944],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9724123,"threshold_uncertainty_score":0.3160281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002500824392447613,"score_gpt":0.1796255416266979,"score_spread":0.1771247172342503,"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."}}