{"id":"W48168424","doi":"","title":"Possible fish stock size assessment and available production survey as developed on Lake Kariba","year":2021,"lang":"en","type":"article","venue":"AquaDocs  (United Nations Educational, Scientific and Cultural Organization)","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Fishery; Fish stock; Fish <Actinopterygii>; Sampling (signal processing); Diel vertical migration; Environmental science; Abundance (ecology); Production (economics); Echo sounding; Predation; Ecology; Geography; Computer science; Cartography; Biology","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004768811,0.0001475679,0.000117131,0.0002636682,0.002004376,0.0004984723,0.0001295361,0.00006992386,0.01161821],"category_scores_gemma":[0.001425314,0.0001331526,0.00001620416,0.007061795,0.0002132729,0.0006879244,0.000138663,0.0001087964,0.000833481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586021,"about_ca_system_score_gemma":0.0002643869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002932965,"about_ca_topic_score_gemma":0.004415046,"domain_scores_codex":[0.9984201,0.0001435762,0.0002293647,0.0005744126,0.0004514129,0.0001811952],"domain_scores_gemma":[0.9986826,0.0002084453,0.0001337832,0.000218976,0.0006202626,0.0001360014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004508476,0.000430341,0.6845178,0.0000220298,0.00003944602,0.000001421982,0.001291452,0.0001253991,0.002451607,0.006362122,0.3044116,0.0003423145],"study_design_scores_gemma":[0.0002269479,0.00002333344,0.9341578,0.00002314301,0.0000271569,0.00003692718,0.0009435829,0.0001944551,0.0008806231,0.0002824793,0.06294958,0.0002539855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864641,0.00002066992,0.00004926016,0.007830044,0.0006196917,0.0002726245,0.0001372882,0.00003254719,0.004573728],"genre_scores_gemma":[0.8748939,0.00007749626,0.002090758,0.0004516787,0.00005021917,0.00001085619,0.004343035,0.00001038606,0.1180716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.24964,"threshold_uncertainty_score":0.9999445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972756308862355,"score_gpt":0.2637434448772211,"score_spread":0.2340158817885976,"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."}}