{"id":"W7080407797","doi":"10.5683/sp3/lm35z2","title":"Chevrolet Bolt EV Drivetrain Teardown Data and FEA Motor Model","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Drivetrain; Torque; Finite element method; Drive shaft; Component (thermodynamics); Traction (geology); Motor drive; Magnet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006183603,0.001642733,0.0008008525,0.002482819,0.0005691043,0.001159604,0.001856121,0.001569063,0.02606104],"category_scores_gemma":[0.003143817,0.0003166065,0.0008510914,0.003314558,0.0003212374,0.0006900934,0.0008517433,0.001014686,0.03512642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009526486,"about_ca_system_score_gemma":0.001088945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0266269,"about_ca_topic_score_gemma":0.062233,"domain_scores_codex":[0.9994696,0.00005889625,0.0000534626,0.0001590722,0.0001916714,0.00006727022],"domain_scores_gemma":[0.9986534,0.0003198431,0.0001209726,0.0003191977,0.0005275361,0.00005902137],"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":[0.0001850787,0.00009569524,0.005402686,0.001183652,0.00007378524,0.0001472478,0.00006456805,0.004349817,0.0006415426,0.00101954,0.9717591,0.01507729],"study_design_scores_gemma":[0.0001462389,0.00005029601,0.01529843,0.000341922,0.00004491391,0.0001704019,0.000178269,0.004306194,0.001305597,0.001976322,0.9761331,0.00004829269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001644483,0.0001114353,0.0003913148,0.00005737751,0.00003070339,0.00002028877,0.9951023,0.0006921119,0.001949918],"genre_scores_gemma":[0.002724708,0.00006059874,0.0007394939,0.00002034637,0.000005966673,0.00009258375,0.9951943,0.0000743915,0.001087652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0266269,"threshold_uncertainty_score":0.08718282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392201889560484,"score_gpt":0.261207129169202,"score_spread":0.2372851102735972,"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."}}