{"id":"W6929522360","doi":"10.5061/dryad.7tv21/1","title":"Southern Newfoundland Atlantic Salmon microsatellite data","year":2015,"lang":"en","type":"other","venue":"DRYAD","topic":"Alexander von Humboldt Studies","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Microsatellite; Fishing; Identification (biology); Aquatic animal; Genetic data","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0009040858,0.0006123681,0.000324972,0.003215379,0.001251152,0.0007250966,0.0008601487,0.0003608344,0.06351914],"category_scores_gemma":[0.001538753,0.0004067119,0.0002887749,0.003628445,0.0003718213,0.0002837305,0.0009557465,0.0004214254,0.01983456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00316347,"about_ca_system_score_gemma":0.007181324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7784519,"about_ca_topic_score_gemma":0.93859,"domain_scores_codex":[0.999398,0.00003987229,0.0000416113,0.0001487983,0.0001845852,0.0001871572],"domain_scores_gemma":[0.9970944,0.0001406097,0.0004194322,0.0004872752,0.001342636,0.0005155275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003677728,0.0001101132,0.1779226,0.0002955715,0.0001314258,0.0002639379,0.0004081151,0.001301886,0.002470187,0.0009117615,0.7141613,0.1016553],"study_design_scores_gemma":[0.00006527336,0.00003729698,0.4308998,0.0001037588,0.0000463723,0.00007953989,0.0003284648,0.0004942988,0.001183216,0.0002126953,0.5665184,0.0000309816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.06354255,0.000370306,0.001438651,0.0005031691,0.0001314685,0.000175932,0.8407456,0.000767709,0.09232468],"genre_scores_gemma":[0.1019887,0.000558354,0.00502558,0.0005494413,0.00007688469,0.0004128439,0.5641477,0.0005763161,0.3266642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2215481,"threshold_uncertainty_score":0.4457057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875884340364923,"score_gpt":0.2788054091358131,"score_spread":0.2300465657321639,"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."}}