{"id":"W4406114205","doi":"10.36349/easjals.2024.v07i12.002","title":"Identification and Profiling of Risk Factors Associated with Decreased Fish Population and Biodiversity: A Case Study of Kolleru Lake in Andhra Pradesh (During the Year of December, 2020 to December, 2021)","year":2024,"lang":"en","type":"article","venue":"East African Scholars Journal of Agriculture and Life Sciences","topic":"Fisheries and Aquaculture Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Geography; Fish <Actinopterygii>; Identification (biology); Profiling (computer programming); Fishery; Population; Biology; Environmental health; Ecology; Medicine; Computer science","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":[0.0004762468,0.0002981187,0.0002473578,0.001273561,0.002322109,0.0007055518,0.0007149557,0.0008195036,0.001321637],"category_scores_gemma":[0.0008277328,0.0002851798,0.0004315202,0.001775851,0.0009934921,0.0006298111,0.001260524,0.0008934282,0.0002211541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496359,"about_ca_system_score_gemma":0.001513054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1413742,"about_ca_topic_score_gemma":0.3422374,"domain_scores_codex":[0.9997003,0.00007853391,0.00001732075,0.0000435459,0.00005934573,0.0001010672],"domain_scores_gemma":[0.9995931,0.00008742716,0.00008494558,0.00002373286,0.00009057436,0.0001202866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008531551,0.0004111792,0.9255174,0.0001398668,0.00007174249,0.02583037,0.0273591,0.0005051558,0.002649275,0.0004073542,0.001903494,0.01511962],"study_design_scores_gemma":[0.0000058524,0.0002332179,0.9342203,0.00004593437,0.00004131077,0.003608471,0.0586782,0.0007167174,0.0003107466,0.000197715,0.001913519,0.0000280004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981639,0.0001775422,0.0001725984,0.0005123385,0.000004384533,0.00002698816,0.0002507981,0.000004792794,0.0006867161],"genre_scores_gemma":[0.9963531,0.0005434969,0.0009063479,0.0002228085,0.00001029431,0.00002294671,0.0002957422,0.000005445355,0.001639664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1413742,"threshold_uncertainty_score":0.2811027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759463029714658,"score_gpt":0.2247311439435467,"score_spread":0.2071365136464001,"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."}}