{"id":"W4299594560","doi":"","title":"Innovating engineering focused software solution for rotating electrical machines","year":2006,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Diagnosis and Research on Alzheimer's Disease","funders":"","keywords":"Computer science; Software; Software engineering; Systems engineering; Manufacturing engineering; Industrial engineering; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008423569,0.0008794575,0.0006337663,0.0004885291,0.0003197988,0.000970618,0.001799008,0.00126926,0.00525093],"category_scores_gemma":[0.002396152,0.0005315061,0.0008998952,0.0003858973,0.0004190844,0.001182078,0.001351186,0.001215527,0.001869472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003146761,"about_ca_system_score_gemma":0.0005528487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007030801,"about_ca_topic_score_gemma":0.000931758,"domain_scores_codex":[0.9991536,0.0001654696,0.00006411374,0.0001642049,0.0003791811,0.00007351904],"domain_scores_gemma":[0.9991228,0.0002312074,0.00005118289,0.0002750793,0.000284975,0.00003471451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004217129,0.000234536,0.001270314,0.0003595177,0.000141342,0.0003232048,0.0005546566,0.1182032,0.1257529,0.03556662,0.01215938,0.7050126],"study_design_scores_gemma":[0.0001008183,0.0001554321,0.0003542022,0.00003674306,0.00007059037,0.0002088373,0.00003926436,0.8968166,0.05672307,0.0152889,0.03018146,0.00002412524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009065174,0.00004762991,0.982487,0.000055586,0.00002788022,0.00003199758,0.00002630564,0.006584744,0.00167364],"genre_scores_gemma":[0.1642093,0.0001355839,0.8241554,0.0001749063,0.00003736795,0.000138639,0.0003039021,0.002448042,0.008396888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00525093,"threshold_uncertainty_score":0.01756608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016702685606208,"score_gpt":0.2055271489633218,"score_spread":0.1953601221072597,"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."}}