{"id":"W6999093474","doi":"","title":"Canada supports Electric Vehicle and clean technology that will lead to economic growth and job creation","year":2022,"lang":"en","type":"other","venue":"","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lead (geology); Job creation; Electric vehicle; Clean technology; Order (exchange); Work (physics)","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":[0.001436721,0.0009895217,0.0005658441,0.002347144,0.00940778,0.006084085,0.00201543,0.008664396,0.08261028],"category_scores_gemma":[0.003678995,0.000551303,0.001010342,0.002016692,0.001718367,0.001397678,0.002798165,0.003836124,0.01511295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06296261,"about_ca_system_score_gemma":0.3007229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927157,"about_ca_topic_score_gemma":0.9970105,"domain_scores_codex":[0.9966105,0.00008037245,0.00004768982,0.00009544739,0.001697262,0.00146884],"domain_scores_gemma":[0.993987,0.000242906,0.0001200854,0.0001000358,0.00389912,0.001650912],"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":[0.00005247104,0.0001206723,0.002569921,0.0001244881,0.00001424914,0.0001689456,0.0001398562,0.0003456844,0.0004115121,0.02965217,0.9464365,0.01996356],"study_design_scores_gemma":[0.0000601238,0.00002505602,0.01495643,0.0001607315,0.00002513138,0.00005166001,0.0009572213,0.0006789346,0.0007012574,0.002463589,0.979875,0.00004487341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01080575,0.001811433,0.0006661216,0.09315329,0.002494414,0.0003672775,0.0243801,0.0007101475,0.8656115],"genre_scores_gemma":[0.02494979,0.001481896,0.00102555,0.01731554,0.000195893,0.0001050066,0.003645604,0.0001531371,0.9511276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08261028,"threshold_uncertainty_score":0.4568278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003647480265566625,"score_gpt":0.1829492699901083,"score_spread":0.1793017897245417,"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."}}