{"id":"W6960791464","doi":"10.14286/jsxvro","title":"NS Southern Upland Salmon Tagging","year":2023,"lang":"en","type":"dataset","venue":"Ocean Tracking Network","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Indian ocean; Tracking (education); Extraction (chemistry); Satellite tracking; Aquatic animal","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001964332,0.0003105269,0.0003192303,0.000008353401,0.0004574557,0.00009538408,0.0003535805,0.0002224237,0.0002360128],"category_scores_gemma":[0.00001515862,0.0001247094,0.0001379342,0.0002160419,0.00007921249,0.00002164542,0.0002144259,0.00029613,0.002326685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002567568,"about_ca_system_score_gemma":0.000002711776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006203114,"about_ca_topic_score_gemma":0.001602409,"domain_scores_codex":[0.9984595,0.00004991613,0.0002414772,0.0004444193,0.0002610237,0.0005436285],"domain_scores_gemma":[0.999483,0.0001681377,0.0001509298,0.0001018274,0.000008783833,0.00008735117],"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":[0.000007155368,0.00001925732,0.001959055,0.00001502599,0.00003611578,0.00002387965,0.00001760871,0.0002207595,0.0000189081,2.841716e-7,0.9933437,0.004338255],"study_design_scores_gemma":[0.00005205634,0.00007342856,0.02146527,0.0001238227,0.00005850879,0.000004695577,0.0002269845,0.00000572608,0.00000211444,0.00007313038,0.9775795,0.0003347389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03116782,0.0008450037,3.01142e-7,0.0002869877,0.000771961,0.000170339,0.9665051,0.0001318196,0.0001206346],"genre_scores_gemma":[0.006291436,0.001179282,0.00001432566,0.000297062,0.002997198,0.000005207593,0.9880497,0.000004751495,0.001160982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02487638,"threshold_uncertainty_score":0.9984501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106192764622673,"score_gpt":0.2050339096573268,"score_spread":0.1839719820111001,"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."}}