{"id":"W6981941977","doi":"","title":"Future of EV Manufacturing Market Size, Share, Growth & Forecast 2035 – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Manufacturing; Economic forecasting; Productivity; Production (economics); 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":[0.0006435227,0.0008896705,0.0003464285,0.002472101,0.0006660282,0.001656258,0.001068645,0.0007943094,0.01525375],"category_scores_gemma":[0.001280606,0.0002869454,0.0007332003,0.003697212,0.0002508575,0.001594497,0.0004493664,0.001074605,0.005757655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01889303,"about_ca_system_score_gemma":0.02637348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.945461,"about_ca_topic_score_gemma":0.9503909,"domain_scores_codex":[0.999419,0.00001276565,0.00001481443,0.00004242683,0.0003835679,0.0001276219],"domain_scores_gemma":[0.9978192,0.00005542112,0.00008260196,0.00002210424,0.001827285,0.0001934597],"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":[0.00035092,0.0001264163,0.01756199,0.0003339069,0.00006324175,0.0001547057,0.00007252432,0.01859568,0.00100612,0.007161782,0.8895634,0.06500929],"study_design_scores_gemma":[0.00005816792,0.0001157549,0.1239363,0.0003293567,0.0001118286,0.00009448033,0.0006394142,0.03302991,0.004218931,0.003553957,0.8337989,0.0001128683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.06554759,0.01281756,0.006491085,0.01534826,0.002185232,0.0002160384,0.6829976,0.002536505,0.21186],"genre_scores_gemma":[0.369325,0.01436711,0.009826567,0.001649869,0.0005022836,0.0001561875,0.3708101,0.0003745142,0.2329884],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05453897,"threshold_uncertainty_score":0.1370792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002911646398721254,"score_gpt":0.1713005280144887,"score_spread":0.1683888816157675,"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."}}