{"id":"W2907479159","doi":"10.3166/ejee.20.193-203","title":"An intelligent control system for bladeless fans","year":2018,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Aeronautics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004367659,0.0001267211,0.0002134893,0.0002352065,0.00004512665,0.00002740876,0.0002395019,0.0000410922,0.000004885787],"category_scores_gemma":[0.00006926842,0.0001159397,0.00008353137,0.0001969888,0.00001807865,0.0000992041,0.000004690628,0.0002948952,0.00001509574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079565,"about_ca_system_score_gemma":0.00001008739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.161797e-7,"about_ca_topic_score_gemma":8.591867e-8,"domain_scores_codex":[0.9990715,0.00003937478,0.0004284287,0.00008669258,0.0001001753,0.0002738726],"domain_scores_gemma":[0.9994999,0.0000439062,0.0000591573,0.0001274958,0.0001558173,0.0001136914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001286358,0.00008324244,0.00006334036,0.0002487304,0.0004347353,0.0001314182,0.0006378821,0.3758349,0.4312197,0.007795393,0.002799353,0.1806227],"study_design_scores_gemma":[0.0005894629,0.001241058,0.00007565939,0.00007762099,0.00003292673,0.0003454724,0.00003800035,0.9330702,0.05347139,0.000007110169,0.01087106,0.0001800369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08469331,0.0001773581,0.9131642,0.00002795931,0.0009514145,0.00007549967,0.000001809058,0.0003508556,0.0005575872],"genre_scores_gemma":[0.9936744,0.000008157907,0.004997766,0.00002057663,0.001231533,0.000001743817,4.493038e-7,0.0000571659,0.000008216552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9089811,"threshold_uncertainty_score":0.4727882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008862761325113233,"score_gpt":0.202692734403257,"score_spread":0.1938299730781438,"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."}}