{"id":"W4404613006","doi":"10.55092/neuroelectronics20240003","title":"Optimized multi-coil wireless power transfer for experimental neuroscience settings with live animals: a robust design methodology","year":2024,"lang":"en","type":"article","venue":"Neuroelectronics.","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Université Laval","funders":"","keywords":"Wireless power transfer; Electromagnetic coil; Computer science; Power (physics); Neuroscience; Engineering; Electrical engineering; Psychology; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005009233,0.0005201491,0.000557227,0.0002036153,0.0001286963,0.000210934,0.0004679215,0.0001560415,0.0000277257],"category_scores_gemma":[0.00002428664,0.0004742785,0.0001842291,0.0004127165,0.000133145,0.0002859739,0.00001920931,0.0005631783,0.00001796771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787752,"about_ca_system_score_gemma":0.0001734077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001290283,"about_ca_topic_score_gemma":0.00001064066,"domain_scores_codex":[0.9970328,0.0002636274,0.0004282704,0.0008833436,0.0002982746,0.001093692],"domain_scores_gemma":[0.9988819,0.0005215408,0.00001698322,0.0003547163,0.00005703195,0.0001677705],"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":[0.0005558089,0.0001305108,0.000004866904,0.0003875328,0.0001425547,0.0001517357,0.00413707,0.2177258,0.7732305,0.001774559,0.0008692649,0.0008898203],"study_design_scores_gemma":[0.00203009,0.001674311,0.00001422959,0.0001104327,0.00008296348,0.0002545367,0.0002112936,0.6881958,0.3030153,0.00001185641,0.003764475,0.0006347876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09242639,0.00355985,0.9003043,0.0001722671,0.0009597983,0.001233055,0.00003115846,0.001238968,0.00007417801],"genre_scores_gemma":[0.9707607,0.0001087302,0.02790999,0.0001782053,0.0000714254,0.0006045395,0.000005282321,0.000276235,0.00008487457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8783343,"threshold_uncertainty_score":0.9997709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06110700535796392,"score_gpt":0.2752871788209936,"score_spread":0.2141801734630296,"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."}}