{"id":"W7043786878","doi":"","title":"Transformer Market Size to Reach $82.87 Bn by 2029 – Arizton – US and Canada Report","year":2025,"lang":"en","type":"other","venue":"","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Market size; Transformer; Welding; Grain size","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":[0.00143889,0.0007308049,0.0003357079,0.001852189,0.002056188,0.003309353,0.001527143,0.00192225,0.1215106],"category_scores_gemma":[0.002953865,0.0003784345,0.0007227637,0.001422101,0.0005046348,0.001419815,0.001150357,0.002050915,0.03295341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02055911,"about_ca_system_score_gemma":0.0728271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9344708,"about_ca_topic_score_gemma":0.9530032,"domain_scores_codex":[0.9984525,0.00003592157,0.00002914198,0.00005455936,0.001064866,0.0003628306],"domain_scores_gemma":[0.9969679,0.00009054133,0.00004064712,0.00004503415,0.002297805,0.0005581844],"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":[0.00003922949,0.00002337015,0.0005308851,0.00004187188,0.00000545861,0.0000195984,0.00001506524,0.000235058,0.0001566711,0.005089503,0.985312,0.008531287],"study_design_scores_gemma":[0.00003097087,0.00001856621,0.009107516,0.00007548444,0.0000127373,0.0000206413,0.000157291,0.0005817373,0.0007349501,0.001246626,0.9879962,0.0000173199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008261016,0.001797242,0.001195027,0.02160922,0.003270212,0.0004050184,0.177602,0.001477559,0.7843828],"genre_scores_gemma":[0.03870662,0.002038379,0.001592078,0.004613569,0.0002582934,0.0001819119,0.05127715,0.0004591133,0.9008729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1215106,"threshold_uncertainty_score":0.4064934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003873068708906993,"score_gpt":0.2384198997825907,"score_spread":0.2345468310736837,"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."}}