{"id":"W1827339090","doi":"10.1139/f2012-038","title":"Identifying river of origin for age-0 <i>Scaphirhynchus</i> sturgeons in the Missouri and Mississippi rivers using fin ray microchemistry","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; U.S. Geological Survey","keywords":"Habitat; Fishery; Sturgeon; Fish <Actinopterygii>; Otolith; Fish fin; Hydrology (agriculture); Geography; Ecology; Geology; Biology","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":[0.0001273624,0.0001288818,0.00008452442,0.0004004851,0.0003688992,0.0002190689,0.0001540424,0.0001246241,0.0007583947],"category_scores_gemma":[0.0002120499,0.0001285064,0.0001177569,0.0002813251,0.000220582,0.0001684623,0.0003410789,0.0001210775,0.0001528498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004285758,"about_ca_system_score_gemma":0.0002720016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03906443,"about_ca_topic_score_gemma":0.1727107,"domain_scores_codex":[0.9999318,0.000007625945,0.000005605479,0.00002794788,0.00001103326,0.00001586835],"domain_scores_gemma":[0.9998081,0.00001500218,0.00009334472,0.000009149235,0.00003835714,0.00003603241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005168814,0.000007249145,0.9883168,0.000006357614,0.000009651567,0.00005358881,0.0004387649,0.0000238802,0.007839918,0.00001894882,0.00003870174,0.003194495],"study_design_scores_gemma":[3.922841e-7,0.00001476413,0.9993387,0.000002058977,0.000003799369,0.00002691595,0.0002556987,0.00003493139,0.0002147961,0.000004074096,0.0001028962,9.751931e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996909,0.00002377664,0.00005315539,0.000004546298,4.652244e-7,0.000001863976,0.00005469073,0.000002308878,0.0001682395],"genre_scores_gemma":[0.9989505,0.00004543206,0.000284959,0.00001263034,8.341695e-7,0.000005222184,0.0002274573,0.000001832519,0.0004711443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03906443,"threshold_uncertainty_score":0.07767409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565767091318669,"score_gpt":0.2483250164896338,"score_spread":0.2126673455764471,"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."}}