{"id":"W2071626496","doi":"10.1088/1742-6596/434/1/012006","title":"Electrical localization of weakly electric fish using neural networks","year":2013,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Tracking (education); Imaging phantom; Image resolution; Voltage; Computer science; Artificial intelligence; Engineering; Physics; Electrical engineering; Optics","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":[0.0003633051,0.0006553056,0.000389712,0.0004120539,0.000196352,0.0005195916,0.0005805469,0.0007242081,0.0006406933],"category_scores_gemma":[0.001001685,0.000351413,0.0004907271,0.0004310924,0.0002839719,0.0005142493,0.0004765097,0.0005274234,0.0001866092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000623961,"about_ca_system_score_gemma":0.0003588119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009337272,"about_ca_topic_score_gemma":0.007105045,"domain_scores_codex":[0.9998722,0.00002783132,0.000008659854,0.00004790411,0.00002425966,0.00001897879],"domain_scores_gemma":[0.9996794,0.0001752144,0.00005260805,0.00001386021,0.00006787119,0.00001103326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004985596,0.00002706329,0.0009826405,0.000031697,0.00002584129,0.00003033191,0.00003328692,0.9408966,0.003917285,0.0004987724,0.0001483617,0.05335821],"study_design_scores_gemma":[8.200519e-7,0.000007254502,0.0001159593,0.000002206968,0.000002319934,0.000002194058,0.000002752873,0.9993143,0.0003150135,0.0001922587,0.00004322747,0.000001704922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1341908,0.000810973,0.8612991,0.0002147422,0.0000598264,0.00004544457,0.00007330329,0.0008112144,0.002494577],"genre_scores_gemma":[0.8968328,0.0004669564,0.09828527,0.00008863064,0.00003393193,0.0001293405,0.000146224,0.00003564344,0.003981239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009337272,"threshold_uncertainty_score":0.01856583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158658598226617,"score_gpt":0.2029310293337052,"score_spread":0.191344443351439,"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."}}