{"id":"W2124927568","doi":"10.1139/f06-009","title":"Assessing anadromy of brook char (<i>Salvelinus fontinalis</i>) using scale microchemistry","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Salvelinus; Seawater; Arctic char; Fish migration; Fontinalis; Strontium; Char; Artificial seawater; Ecology; Mineralogy; Environmental chemistry; Chemistry; Biology; Fishery; Trout","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000430351,0.00009095485,0.0002276056,0.00002799502,0.0005452359,0.0001037298,0.0001981369,0.0000732582,0.00008103469],"category_scores_gemma":[0.00007352478,0.00004022674,0.00005851646,0.0002154038,0.001111017,0.0002572217,0.00001565508,0.00008172359,3.274659e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001875297,"about_ca_system_score_gemma":0.0001492728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0126666,"about_ca_topic_score_gemma":0.06344637,"domain_scores_codex":[0.9991791,0.00003429927,0.0003085011,0.0001270663,0.00009083678,0.0002602288],"domain_scores_gemma":[0.9994162,0.0001237039,0.0002608469,0.0000211849,0.00005822612,0.0001198123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004494563,0.00001307204,0.8815825,0.0000106268,0.00001475695,0.00001979277,0.0001279712,0.000003167486,0.1111616,0.00002532615,0.001338546,0.005698155],"study_design_scores_gemma":[0.0001941757,0.0003809007,0.9713646,0.0001416032,0.00005668886,0.000367012,0.006186947,0.000151241,0.01317206,0.002292235,0.00542838,0.0002642087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957817,0.001400505,0.000005434293,0.001654441,0.0001487892,0.00002951737,0.000006726444,0.000002105954,0.0009707357],"genre_scores_gemma":[0.9987919,0.00002419345,0.0008304534,0.0001436509,0.0001433578,3.772407e-7,0.000001447299,4.624432e-7,0.00006415953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09798951,"threshold_uncertainty_score":0.9939082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377284623162092,"score_gpt":0.2186240155521051,"score_spread":0.1948511693204842,"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."}}