{"id":"W4409920606","doi":"10.47176/ijpr.24.3.81944","title":"Modeling electric image in weakly electric fish using electrical impedance tomography","year":2024,"lang":"en","type":"article","venue":"Iranian Journal of Physics Research","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electrical impedance tomography; Electric fish; Fish <Actinopterygii>; Electrical impedance; Tomography; Materials science; Electrical engineering; Biomedical engineering; Engineering; Physics; Biology; Optics; Fishery","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":[0.0001379567,0.0003702231,0.0002295063,0.0002738344,0.0001308107,0.0004366621,0.0005063557,0.00067347,0.001173296],"category_scores_gemma":[0.000629039,0.0002326824,0.0004749511,0.0002886279,0.0004275342,0.0008421262,0.0005240231,0.0002849773,0.0002512562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003744703,"about_ca_system_score_gemma":0.0004147888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003070129,"about_ca_topic_score_gemma":0.001856111,"domain_scores_codex":[0.9999349,0.00001090405,0.0000039946,0.00002276116,0.00001982235,0.000007573894],"domain_scores_gemma":[0.999908,0.0000374029,0.00002030252,0.000008688986,0.00001876243,0.000006924055],"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":[0.00005049698,0.00002263281,0.004194677,0.00008198095,0.00002467228,0.0004055394,0.0001468091,0.9270633,0.04972334,0.005001891,0.0002480987,0.01303661],"study_design_scores_gemma":[0.000004938374,0.00002019605,0.001033467,0.000005326366,0.00000969964,0.0001156409,0.00003188033,0.9938175,0.002990587,0.001394463,0.0005668125,0.000009479621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1440364,0.0002120742,0.8501967,0.0001815973,0.00002384379,0.00004393201,0.0001723913,0.0004032734,0.004729663],"genre_scores_gemma":[0.925127,0.00052381,0.06769664,0.00007078805,0.00001103988,0.00009303309,0.00014996,0.00008166536,0.006246122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003070129,"threshold_uncertainty_score":0.006104469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810654884233839,"score_gpt":0.3601998413177004,"score_spread":0.302093292475362,"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."}}