{"id":"W2109248993","doi":"10.1016/j.mbs.2003.08.012","title":"Coding of information in models of tuberous electroreceptors","year":2003,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroreception; Electric fish; Stimulus (psychology); Decoding methods; Computer science; Biological system; Neuroscience; Biology; Algorithm; Sensory system; Fish <Actinopterygii>","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":[0.001468436,0.0005859299,0.001285301,0.0009029855,0.0008376532,0.002510029,0.001713428,0.002043986,0.00292922],"category_scores_gemma":[0.008087481,0.0004989248,0.0009676597,0.000802381,0.00282179,0.003499733,0.001526764,0.001456384,0.0003281238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148144,"about_ca_system_score_gemma":0.0008791633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004673287,"about_ca_topic_score_gemma":0.002726954,"domain_scores_codex":[0.9994645,0.0002396694,0.00002692442,0.00005961271,0.00009993099,0.0001093974],"domain_scores_gemma":[0.9963604,0.002557989,0.0003264404,0.0002038289,0.0002739783,0.0002774101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008883091,0.00002872202,0.0004183953,0.00005202787,0.00002670549,0.000118832,0.0001575873,0.2564102,0.001751446,0.7375201,0.0008945767,0.002532575],"study_design_scores_gemma":[0.00001715927,0.00001190473,0.0001187767,0.000007919846,0.00000744391,0.00003091462,0.00002787212,0.7758303,0.0001176521,0.2236582,0.000154716,0.00001705679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4122904,0.001237206,0.5468673,0.004375067,0.0002096191,0.00004260708,0.000290391,0.0005717253,0.03411563],"genre_scores_gemma":[0.9892216,0.0003304806,0.005796595,0.0001510484,0.00006030823,0.00003302435,0.00005144116,0.00005092017,0.004304752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004673287,"threshold_uncertainty_score":0.01074868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825135523071257,"score_gpt":0.2416730584007797,"score_spread":0.2234217031700672,"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."}}