{"id":"W6939686706","doi":"10.6084/m9.figshare.27522882.v1","title":"[FEMM] Magnetic Modeling of the Rotor-Through-Coils Toroidal-Flux Reluctance E-Motor","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnetic reluctance; Work (physics); Government (linguistics); Reluctance motor","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":[0.0006086059,0.002279911,0.000940886,0.001678197,0.0007941153,0.001674729,0.003499067,0.002461554,0.1724033],"category_scores_gemma":[0.003526073,0.0009567974,0.001845998,0.002401491,0.0002521331,0.001285331,0.001054693,0.001518112,0.1764909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014096,"about_ca_system_score_gemma":0.0013033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129566,"about_ca_topic_score_gemma":0.0429905,"domain_scores_codex":[0.9994994,0.00009023749,0.00004722003,0.0001301946,0.000154446,0.00007848116],"domain_scores_gemma":[0.9989132,0.0003947873,0.00007177014,0.0002180341,0.0003467962,0.00005543031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006484856,0.00002241577,0.0008644442,0.0006826071,0.00003288779,0.00002963891,0.00001746304,0.00548569,0.0002225396,0.0009189508,0.9862309,0.005427498],"study_design_scores_gemma":[0.0003066835,0.00002810422,0.003167629,0.0003003106,0.00003506896,0.00007703903,0.00005810937,0.0145656,0.001063029,0.004837694,0.9755073,0.00005343356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004337451,0.0001244474,0.001806175,0.0001693153,0.00006942942,0.00003197507,0.9850556,0.007540372,0.004768957],"genre_scores_gemma":[0.003773545,0.0001973254,0.004702856,0.0001263963,0.0000253248,0.000227061,0.9851403,0.001900276,0.003906898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1724033,"threshold_uncertainty_score":0.5767466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796359934234872,"score_gpt":0.2341027400128995,"score_spread":0.2061391406705508,"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."}}