{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000194957,0.0001340804,0.0002265395,0.00003037797,0.0001346134,0.00004762715,0.0001237904,0.0002249164,0.03025548],"category_scores_gemma":[0.0001957578,0.000122443,0.00004048572,0.00007486597,0.00008730241,0.00003005963,0.00001432422,0.0001060751,0.00003662222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002033416,"about_ca_system_score_gemma":0.0009884036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923081,"about_ca_topic_score_gemma":0.9904524,"domain_scores_codex":[0.9989491,0.00003588293,0.0002177205,0.0002954266,0.0001576248,0.0003442882],"domain_scores_gemma":[0.999382,0.000110188,0.00004313867,0.0001470771,0.00001879374,0.0002987658],"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":[0.000001452273,0.000005837353,0.0005392555,0.00000942832,0.00002884187,0.000008145664,0.00003037086,7.762568e-8,3.920024e-7,0.01615949,0.9826708,0.0005459014],"study_design_scores_gemma":[0.000054949,0.000004266309,0.0007449367,0.00002401945,0.00002233804,0.000001531841,0.0002125079,8.709513e-7,0.000001090218,0.00108676,0.9976922,0.0001545691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001100593,0.0001095216,0.00003801646,0.01003075,0.0005031902,0.0002889823,0.0003029243,0.00004720048,0.9885694],"genre_scores_gemma":[0.002314454,0.000126765,0.000128494,0.001745107,0.000145711,0.00001238133,0.00001607476,0.00002622864,0.9954848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03021886,"threshold_uncertainty_score":0.970631,"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."}}