{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002740202,0.0004454096,0.0003391974,0.0002367493,0.00002615318,0.00004330877,0.0001836484,0.0001771006,0.014168],"category_scores_gemma":[0.000004038051,0.000392031,0.00006351152,0.0006099815,0.00003250808,0.00002830241,0.00001292942,0.0003588777,0.0001661089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146402,"about_ca_system_score_gemma":0.000109078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.639303,"about_ca_topic_score_gemma":0.9026509,"domain_scores_codex":[0.9987872,0.00001322819,0.0002394221,0.000274065,0.0002185316,0.0004675183],"domain_scores_gemma":[0.9995362,0.0000317563,0.00003084541,0.0002186823,0.00002023947,0.0001622761],"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":[0.000003693747,0.000004324001,0.00004526954,0.0003191812,0.0002607326,0.00002937517,0.00008185989,0.001290802,0.000005540385,0.000007993202,0.9939126,0.004038657],"study_design_scores_gemma":[0.00007950223,0.0000202454,0.000003600557,0.0001900599,0.0000557134,0.000002446343,0.00007793139,0.008866944,0.00002682321,0.000004551293,0.9901771,0.0004950639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009956681,0.004566509,0.000594056,0.00005209502,0.001696689,0.0001248525,0.001805324,0.0007758235,0.9902851],"genre_scores_gemma":[0.0004574152,0.001831205,0.0003599367,0.0002724002,0.0002359037,0.00001340929,0.003234035,0.0009750028,0.9926207],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2633479,"threshold_uncertainty_score":0.9998531,"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."}}