{"id":"W2947628004","doi":"10.1002/nafm.10307","title":"Dude, Where's my Transmitter? Probability of Radio Transmitter Detections and Locational Errors for Tracking River Fish","year":2019,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Cochrane; Alberta Environment and Protected Areas","funders":"Government of Alberta","keywords":"Transmitter; Altitude (triangle); Remote sensing; Radio transmitter design; Environmental science; Acoustics; Computer science; Telecommunications; Physics; Geography; 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":[0.004668866,0.0001707451,0.0002238181,0.000645465,0.0002201193,0.0007410227,0.0004826816,0.0005656042,0.0007485664],"category_scores_gemma":[0.03809066,0.0002778015,0.0002612434,0.0004609731,0.0006727377,0.0009354259,0.0003804283,0.0003790204,0.0001651713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005938318,"about_ca_system_score_gemma":0.0002747463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005936301,"about_ca_topic_score_gemma":0.007277835,"domain_scores_codex":[0.9982371,0.0008172972,0.0001296485,0.0003994165,0.0003048194,0.000111699],"domain_scores_gemma":[0.9537282,0.03485394,0.0077553,0.00164826,0.001494566,0.0005197714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002488393,0.00003597634,0.9612349,0.00001982226,0.00008975951,0.00008080625,0.0001507305,0.02992487,0.0009437425,0.0002707542,0.0001166789,0.006883098],"study_design_scores_gemma":[0.00001844815,0.0003306881,0.8375009,0.00002921834,0.00009343281,0.0003331777,0.0002819302,0.1583115,0.002017675,0.0007763006,0.0002713862,0.00003532753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921734,0.00007813381,0.006988451,0.0000836227,0.000006169148,0.0000110308,0.0001315818,0.00002832179,0.0004993214],"genre_scores_gemma":[0.9985764,0.00002093389,0.001232124,0.000009034708,0.000002269051,0.000004582061,0.00004829268,0.00000385464,0.0001024541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005936301,"threshold_uncertainty_score":0.02469158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007443516017968682,"score_gpt":0.1962693650376498,"score_spread":0.1888258490196811,"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."}}