{"id":"W1982556095","doi":"10.3791/50962","title":"Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Electric fish; Computer science; Animal behavior; Tracking (education); SIGNAL (programming language); Body position; Term (time); Underwater; Simulation; Computer vision; Fish <Actinopterygii>; Physics; Biology; Psychology; Fishery","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005929595,0.0002002756,0.0004794589,0.0001320421,0.0001022066,0.00002671644,0.0004533124,0.0001719113,0.001265737],"category_scores_gemma":[0.00006218648,0.0001727634,0.0002153792,0.0002079537,0.000159146,0.0003197113,0.000111197,0.0002479683,0.00003774334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001838704,"about_ca_system_score_gemma":0.00002041279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004908178,"about_ca_topic_score_gemma":0.00003126278,"domain_scores_codex":[0.9979959,0.000188049,0.0008040091,0.0002223107,0.0004015369,0.0003882265],"domain_scores_gemma":[0.9987561,0.00005892924,0.0007958151,0.000189918,0.00004225644,0.0001569992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000853789,0.0007048576,0.3668465,0.000004272204,0.00001750471,0.00001681244,0.0002542633,0.000003070016,0.6282099,0.000004209886,0.0003931813,0.003460036],"study_design_scores_gemma":[0.001273571,0.001114576,0.7221031,0.00003080451,0.0000628159,0.00007292348,0.00008789407,0.00001960524,0.2747801,0.00001827413,0.0002831404,0.0001531832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984931,0.00009700039,0.0002677944,0.00004489005,0.000532335,0.000132551,0.000002196731,0.00001309604,0.0004170446],"genre_scores_gemma":[0.9984814,0.00003033906,0.001014077,0.0001943706,0.0001197394,0.000005816808,0.000002761093,0.00002207583,0.0001294291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3552566,"threshold_uncertainty_score":0.9996473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823878751944767,"score_gpt":0.3945006239601136,"score_spread":0.3562618364406659,"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."}}