{"id":"W7066138816","doi":"","title":"Genomics-based mixed-stock analysis reveals potential unsampled populations and population differences in intra-lake migration in walleye.","year":2023,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome Canada; Niskamoon Corporation","keywords":"Population; Stock (firearms); Habitat; Fish stock; Identification (biology); Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007691794,0.0002940116,0.0002463193,0.0008805664,0.0004996831,0.0005180464,0.0004438975,0.0002958423,0.0009346972],"category_scores_gemma":[0.0009438638,0.0001517062,0.0002987441,0.0006724048,0.0002250893,0.0002031471,0.0003180523,0.0002448276,0.0001894918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008374315,"about_ca_system_score_gemma":0.0006167267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07340772,"about_ca_topic_score_gemma":0.2662195,"domain_scores_codex":[0.9997606,0.00003582563,0.00001198219,0.00009219715,0.00005093456,0.00004850106],"domain_scores_gemma":[0.9995858,0.00009119098,0.0001011014,0.00005395426,0.0001147383,0.00005329486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00017784,0.00005249917,0.899606,0.00004871525,0.0003447302,0.0002472016,0.001015,0.0007371823,0.07803765,0.000339555,0.0005784389,0.01881515],"study_design_scores_gemma":[0.000005050726,0.00002899433,0.9943994,0.00000803187,0.0000459551,0.0000568615,0.000305144,0.002542662,0.001889906,0.0001021974,0.0006080029,0.000007891363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967105,0.0001082282,0.001972305,0.00003255965,0.000004919018,0.00001119817,0.0007483127,0.0000219394,0.0003900039],"genre_scores_gemma":[0.9944641,0.00004187402,0.003136022,0.00006584737,0.00000258809,0.00002050408,0.001529169,0.00001888519,0.000721067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07340772,"threshold_uncertainty_score":0.1459609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406231631841155,"score_gpt":0.2830849799640841,"score_spread":0.2490226636456725,"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."}}