{"id":"W4245005680","doi":"10.4102/koedoe.v62i1.1649","title":"Assessing the effect of tagging and the vulnerability to predation in tigerfish (Hydrocynus vittatus, Castelnau 1861) in a water-stressed system using telemetry methods","year":2020,"lang":"en","type":"article","venue":"Koedoe","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kruger (Canada)","funders":"","keywords":"Predation; National park; Telemetry; Predator; Drainage basin; Geography; Ecology; Environmental science; Ecosystem; Threatened species; Fishery; Biology; Habitat","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":[],"consensus_categories":[],"category_scores_codex":[0.002449467,0.0001075131,0.0002527428,0.00003403447,0.0001680741,0.00003457901,0.0001494443,0.00004029045,0.00002581456],"category_scores_gemma":[0.0003128167,0.00005604903,0.00002520088,0.0003085208,0.0001929204,0.0001852885,0.0004079154,0.0001509983,0.000004505776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069377,"about_ca_system_score_gemma":0.000002409226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006633418,"about_ca_topic_score_gemma":0.0005652394,"domain_scores_codex":[0.998031,0.001122575,0.0002641349,0.0002568656,0.0001181019,0.0002073433],"domain_scores_gemma":[0.9991878,0.0005612483,0.00007034194,0.0001505142,0.000003235183,0.00002680554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001664795,0.00002167844,0.9456722,0.0003786781,0.00003584544,0.00001240352,0.007706,0.01929676,0.0148082,0.00003625183,0.0001460991,0.01171948],"study_design_scores_gemma":[0.002278227,0.000167612,0.8536021,0.0001369904,0.00008880368,0.000005131734,0.003831429,0.1038475,0.03526973,0.00006828207,0.000475083,0.0002290944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935395,0.00002134658,0.002241416,0.002048579,0.0000679979,0.0007166639,7.763082e-7,0.00001551176,0.00134819],"genre_scores_gemma":[0.9984301,0.000002538149,0.001217131,0.0002764595,0.00001572453,0.00004351154,9.612457e-7,0.000005852888,0.000007759938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09207006,"threshold_uncertainty_score":0.2285613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722716693595609,"score_gpt":0.3179950069194452,"score_spread":0.300767839983489,"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."}}