{"id":"W4401374261","doi":"10.53555/sfs.v10i1.2935","title":"Diversity Of Phytoplankton Studies On The Selected Ponds From Agastheeswaram Taluk, Kanyakumari District","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phytoplankton; Diversity (politics); Geography; Environmental science; Lake district; Fishery; Ecology; Biology; Archaeology; Sociology; Nutrient","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001139665,0.0001897478,0.0001645737,0.001118766,0.0008898256,0.0003802082,0.0001777431,0.0001472306,0.0009672486],"category_scores_gemma":[0.0001734011,0.0001208615,0.00012502,0.001187434,0.0003610288,0.0002059002,0.0005247959,0.0001328361,0.0001178088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003834999,"about_ca_system_score_gemma":0.0004917666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007260169,"about_ca_topic_score_gemma":0.03132599,"domain_scores_codex":[0.999895,0.000009605422,0.00001002686,0.00003244549,0.00002915329,0.00002379749],"domain_scores_gemma":[0.999873,0.00001299005,0.0000400761,0.000007309043,0.00003006498,0.00003653044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000173819,0.00009076433,0.9258772,0.0001566342,0.00003554769,0.001902751,0.008670207,0.00019956,0.04669808,0.0001137051,0.0001802687,0.01590147],"study_design_scores_gemma":[0.000003520392,0.00008857962,0.9951728,0.000006188039,0.000008257682,0.0002988071,0.002972628,0.00009271509,0.0008327728,0.00001693526,0.0005019607,0.000004832241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995709,0.00002546493,0.00002688843,0.00000572822,5.85663e-7,0.000007299926,0.00007739746,0.00000129049,0.0002844228],"genre_scores_gemma":[0.9988463,0.00006402065,0.0001708616,0.00001157956,0.000001754121,0.00001512159,0.0001819823,6.711405e-7,0.0007075936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007260169,"threshold_uncertainty_score":0.01443583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2714303608250034,"score_gpt":0.309289516780351,"score_spread":0.03785915595534756,"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."}}