{"id":"W2936660301","doi":"10.1186/s40317-019-0168-4","title":"The Gain Reduction Method for manual tracking of radio-tagged fish in streams","year":2019,"lang":"en","type":"article","venue":"Animal Biotelemetry","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Parks Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Parks Canada","keywords":"Tracking (education); Position (finance); STREAMS; Statistics; Telemetry; Orientation (vector space); Computer science; Geodesy; Mathematics; Telecommunications; Geology; Geometry","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":[0.003404232,0.0008051256,0.0006472434,0.001671477,0.0005106661,0.0006322375,0.001285555,0.0008051697,0.002357715],"category_scores_gemma":[0.009488679,0.0004119276,0.0006705441,0.00155694,0.0005990269,0.0006836053,0.000982,0.0008982016,0.001406346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007158274,"about_ca_system_score_gemma":0.0009667551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003293416,"about_ca_topic_score_gemma":0.006048542,"domain_scores_codex":[0.9958519,0.0008468941,0.000221596,0.0007526347,0.002174254,0.0001526581],"domain_scores_gemma":[0.9959213,0.001382797,0.0005861638,0.0005030549,0.001535753,0.00007091361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001038934,0.0002086315,0.01560401,0.0006442927,0.0001356684,0.000279371,0.0009117809,0.01122564,0.2166294,0.002055472,0.002638943,0.7486279],"study_design_scores_gemma":[0.0003601226,0.004256652,0.1933814,0.000333138,0.0005580151,0.003898017,0.0004914571,0.3575447,0.38561,0.005376157,0.04750018,0.0006901055],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09848225,0.0006526002,0.8935992,0.00007024871,0.0002263419,0.00080194,0.0003329991,0.002456845,0.003377614],"genre_scores_gemma":[0.1869989,0.0004274686,0.8062951,0.00009522246,0.00005820255,0.001327439,0.0005382943,0.0003058385,0.003953614],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003404232,"threshold_uncertainty_score":0.01800352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00996655518130022,"score_gpt":0.2708926707134962,"score_spread":0.260926115532196,"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."}}