{"id":"W4403210404","doi":"10.1109/ieeedata.2024.3475993","title":"Descriptor: BLDC Hall Sensor Displacement Dataset (BLDC-HSD)","year":2024,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Seoul National University of Science and Technology","keywords":"Displacement (psychology); Hall effect sensor; Computer science; Artificial intelligence; Psychology; Electrical engineering; Engineering; Magnet; Psychoanalysis","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":[0.0007372828,0.003646089,0.00146032,0.002226548,0.0009194332,0.00149073,0.003847693,0.002666895,0.02660316],"category_scores_gemma":[0.002662458,0.0005512688,0.001482146,0.003513782,0.0004566405,0.001473285,0.001359745,0.002563886,0.04153108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593588,"about_ca_system_score_gemma":0.001780335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02489772,"about_ca_topic_score_gemma":0.03443063,"domain_scores_codex":[0.999115,0.00008330039,0.00009494732,0.0002536767,0.0003017794,0.0001512241],"domain_scores_gemma":[0.9985691,0.0001912587,0.00009377163,0.0004116307,0.0005983372,0.0001358565],"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":[0.0002000544,0.0001414919,0.000993665,0.0004610861,0.00004257992,0.00007504203,0.0000149366,0.002577444,0.00101677,0.0003257117,0.9841249,0.01002631],"study_design_scores_gemma":[0.001132428,0.0003134856,0.01529987,0.0003172403,0.00009499432,0.0003727654,0.0002616716,0.03666953,0.01186656,0.003328422,0.9301796,0.0001634687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001929473,0.0001288461,0.0008093928,0.0002158164,0.0001819952,0.000078692,0.9915779,0.003457302,0.001620586],"genre_scores_gemma":[0.001718373,0.00003954208,0.0008733423,0.00003779264,0.00001094741,0.00008739008,0.9965169,0.00006956304,0.0006460869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02660316,"threshold_uncertainty_score":0.08899647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145692763006116,"score_gpt":0.3077509649175638,"score_spread":0.1931816886169522,"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."}}