{"id":"W2101643325","doi":"10.5897/jmer.9000023","title":"Functional parameters modelling of transformer","year":2009,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Material Properties and Failure Mechanisms","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformer; Probabilistic logic; Computer science; Thermal; Reliability engineering; Engineering; Artificial intelligence; Electrical engineering; Thermodynamics; Voltage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131783,0.0001082549,0.0001950762,0.0001180005,0.00007244439,0.00004739701,0.0002341518,0.00009364409,0.0007017769],"category_scores_gemma":[0.00007666086,0.00008804481,0.00006628215,0.0002021552,0.00002704418,0.0001081366,0.00002519805,0.0002181543,0.00009534971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003661277,"about_ca_system_score_gemma":0.00002822213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004129285,"about_ca_topic_score_gemma":3.729559e-7,"domain_scores_codex":[0.9983605,0.00004701765,0.0002739458,0.0002451034,0.0006195624,0.0004539375],"domain_scores_gemma":[0.9994485,0.00008058719,0.00001934811,0.0002126231,0.0001222694,0.0001167065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007414872,0.00003617173,6.162713e-8,0.0000300203,0.000002704063,0.000002280178,0.00003056431,0.06788127,0.9027077,0.02850101,0.00006026672,0.0006738265],"study_design_scores_gemma":[0.0001793683,0.0002911307,0.00000407641,0.00003734897,0.000002964262,0.000003674062,0.00001683485,0.1385494,0.8567344,0.003688487,0.0003926114,0.00009965424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.437335,0.00005129445,0.5614762,0.0003581393,0.0003157533,0.0001767895,0.000005940216,0.00008142451,0.0001995158],"genre_scores_gemma":[0.982964,0.00001212633,0.01679542,0.00002282449,0.00007110782,0.00001306339,0.000002509469,0.00001389653,0.0001050671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.545629,"threshold_uncertainty_score":0.7683965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058808288711158,"score_gpt":0.2770948815126926,"score_spread":0.1712140526415768,"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."}}