{"id":"W4412956582","doi":"10.3390/machines13080679","title":"Experiments in 3D Printing Electric Motors","year":2025,"lang":"en","type":"article","venue":"Machines","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"Office of Energy Efficiency; Wind Energy Technologies Office; Battelle; U.S. Department of Energy","keywords":"Electric motor; 3D printing; Automotive engineering; Mechanical engineering; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006370426,0.0001062599,0.0001082885,0.000260898,0.00003374182,0.00001934345,0.0001509054,0.00005277618,0.00001803831],"category_scores_gemma":[0.0000755671,0.0001003725,0.00002263323,0.0002499674,0.00001183542,0.00003416564,0.00007523737,0.0001704604,0.00001345416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004260746,"about_ca_system_score_gemma":0.000003862511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003580244,"about_ca_topic_score_gemma":0.000006144574,"domain_scores_codex":[0.9995154,0.000009178975,0.0001244461,0.0001208474,0.00004424532,0.0001859208],"domain_scores_gemma":[0.9997935,0.00003717559,0.00001111326,0.0001433895,0.000005692283,0.000009124973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007601032,0.00005332622,0.134867,0.0001832976,0.00006932685,0.00002222177,0.000286739,0.008429121,0.02054939,0.002324763,0.00125761,0.8319497],"study_design_scores_gemma":[0.0004387311,0.00001700716,0.2669533,0.0001546786,0.000007968013,0.00000245212,0.00007376554,0.08185844,0.6337959,0.004175021,0.01212816,0.0003946646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818372,0.0003852677,0.002259836,0.00004190219,0.0002056585,0.0000776772,5.85195e-7,0.00103737,0.01415457],"genre_scores_gemma":[0.9980472,0.00002729606,0.001557945,0.00001745688,0.00001720357,0.00002687141,0.000001204157,0.00001149343,0.0002933582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8315549,"threshold_uncertainty_score":0.4093074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007618419178702296,"score_gpt":0.2411167705353622,"score_spread":0.2334983513566599,"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."}}