{"id":"W4416100924","doi":"10.1242/jeb.251003","title":"fish2eod: finite element modelling of active electric sensing","year":2025,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; University of Ottawa","keywords":"Electroreception; Electric fish; Context (archaeology); Electric field; Basis (linear algebra); Fish <Actinopterygii>; Orientation (vector space); Field (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006052733,0.00106977,0.0008650783,0.0007570841,0.0004843514,0.001088525,0.002797889,0.003397689,0.008464839],"category_scores_gemma":[0.001821707,0.0009538347,0.001317995,0.0005213013,0.000783568,0.0007002655,0.001382062,0.001251708,0.001342324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005331438,"about_ca_system_score_gemma":0.001273761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008517023,"about_ca_topic_score_gemma":0.009417424,"domain_scores_codex":[0.9997419,0.00005730678,0.00002130409,0.00004029756,0.000111482,0.00002782448],"domain_scores_gemma":[0.9992842,0.000422996,0.00008060667,0.00004535665,0.0001264988,0.00004030767],"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":[0.0000221951,0.00002150525,0.0004499408,0.0001176048,0.00002664021,0.00007311936,0.00007137523,0.9845417,0.003216284,0.005073048,0.0006831857,0.005703412],"study_design_scores_gemma":[0.000007498114,0.000007750737,0.00009326406,0.00001682721,0.000004535232,0.00002478453,0.00001414114,0.9951352,0.0004646505,0.001190154,0.003033648,0.000007445597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02074728,0.0003261083,0.9620496,0.0002883767,0.0001132291,0.000150505,0.001498628,0.001421973,0.01340435],"genre_scores_gemma":[0.4009918,0.0009793077,0.5683691,0.0003458504,0.00008662997,0.001684373,0.003109047,0.001657659,0.02277622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008517023,"threshold_uncertainty_score":0.02831775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622119555280768,"score_gpt":0.29218412634547,"score_spread":0.2659629307926624,"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."}}