{"id":"W7018699419","doi":"","title":"Dry Type Transformer Market Forecast - 2027 | North America 6.5%+ CAGR by Canada, United States","year":2024,"lang":"en","type":"other","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic forecasting; Transformer; Consensus forecast; Revenue","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":[0.0002612214,0.0007944813,0.0003913379,0.001619721,0.0007751656,0.001738033,0.0006848942,0.0007827937,0.08403496],"category_scores_gemma":[0.001023258,0.0002864125,0.0003715606,0.001899353,0.0002181765,0.0008718229,0.0003711605,0.001029185,0.05814942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005316717,"about_ca_system_score_gemma":0.009276358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7467226,"about_ca_topic_score_gemma":0.8193674,"domain_scores_codex":[0.9996727,0.000006691176,0.000005809437,0.00002640243,0.0002428436,0.00004552699],"domain_scores_gemma":[0.9988281,0.00002611006,0.00003327498,0.00002688183,0.000970745,0.0001149342],"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":[0.00003612227,0.00001292005,0.0007385015,0.00003170237,0.000002666825,0.00001115339,0.000005208593,0.0006710826,0.0001500509,0.0008551952,0.9873318,0.01015368],"study_design_scores_gemma":[0.00003736054,0.00001857516,0.01357425,0.0000787435,0.00001108057,0.00002229085,0.00008484584,0.005165218,0.001218829,0.0009292159,0.9788393,0.00002029069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006123486,0.0007559354,0.002521448,0.002865651,0.001811338,0.0001123285,0.588872,0.004557157,0.3923806],"genre_scores_gemma":[0.03978451,0.001635558,0.00307988,0.0008415643,0.000309001,0.0000618302,0.3604593,0.001333471,0.5924949],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2532774,"threshold_uncertainty_score":0.5095381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004388086250363652,"score_gpt":0.1720011458748116,"score_spread":0.1676130596244479,"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."}}