{"id":"W2158891656","doi":"10.1139/f01-133","title":"Estimating in-river survival of migrating salmonid smolts using radiotelemetry","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transponder (aeronautics); Environmental science; Rainbow trout; Fishery; Mark and recapture; Telemetry; Maximum likelihood; Hydrology (agriculture); Oncorhynchus; Fish <Actinopterygii>; Statistics; Biology; Geography; Meteorology; Geology; Engineering; Telecommunications; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004930327,0.0003154574,0.0001786174,0.00036999,0.0002184569,0.0001866179,0.0002549495,0.0001648181,0.0005511858],"category_scores_gemma":[0.0007516465,0.0001995123,0.00009837162,0.0001667901,0.0001977489,0.0002127319,0.0001230984,0.0001971797,0.000172316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003464861,"about_ca_system_score_gemma":0.0002695038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01434234,"about_ca_topic_score_gemma":0.03973857,"domain_scores_codex":[0.9998451,0.00005129913,0.000008886561,0.00003778314,0.00003462187,0.00002221751],"domain_scores_gemma":[0.999516,0.0001407985,0.0001390268,0.00003768471,0.0001058378,0.00006063619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004186224,0.0003786595,0.9139462,0.00004732658,0.00005188343,0.00007487905,0.0003552094,0.0007567166,0.06290666,0.00003331019,0.0001628356,0.02086766],"study_design_scores_gemma":[0.00001375911,0.001294919,0.98948,0.000004627047,0.00002812255,0.00007840055,0.0001670786,0.002218112,0.006486952,0.00002006695,0.0002003676,0.000007662695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993626,0.00001461605,0.0004483635,0.000002209375,5.410341e-7,0.00001042798,0.00005483857,0.000006457574,0.00009989069],"genre_scores_gemma":[0.9968207,0.0000485075,0.002153875,0.000007279952,0.000002313677,0.00003726459,0.0003854927,0.00000268069,0.0005418676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01434234,"threshold_uncertainty_score":0.02851772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475324876004914,"score_gpt":0.2356453983609621,"score_spread":0.2108921496009129,"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."}}