{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009744206,0.0006854329,0.0006061032,0.0006034159,0.0006185336,0.001100229,0.000945388,0.001544526,0.004640881],"category_scores_gemma":[0.003018843,0.0006028101,0.0006885917,0.0007106514,0.0009655217,0.001188684,0.001124145,0.0009876973,0.001206632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004210967,"about_ca_system_score_gemma":0.0002007313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004220403,"about_ca_topic_score_gemma":0.0003968331,"domain_scores_codex":[0.9983649,0.0001768239,0.0001493892,0.0003197553,0.0008167558,0.0001723918],"domain_scores_gemma":[0.996702,0.001713496,0.0002247053,0.000827628,0.0004121023,0.0001200941],"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":[0.0002876855,0.0003474904,0.0007485531,0.0005721789,0.00003892898,0.001179429,0.0008483605,0.02438447,0.9296211,0.004500119,0.001081672,0.03638999],"study_design_scores_gemma":[0.0000399591,0.0005836225,0.001193384,0.00002869422,0.0000170681,0.0004412652,0.00009875467,0.02279609,0.9669529,0.0007438011,0.007032698,0.00007188332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8269634,0.0009143044,0.147998,0.0004015478,0.0004861591,0.0004212321,0.0009848742,0.002191611,0.01963881],"genre_scores_gemma":[0.8425098,0.0006432006,0.1483422,0.0001363288,0.00005028893,0.0002921684,0.0004257975,0.0004275725,0.007172541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004640881,"threshold_uncertainty_score":0.01552528,"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."}}