{"id":"W4399558609","doi":"10.1016/j.jglr.2024.102378","title":"Importance of internal and external nutrient loading to the primary productivity of Lake Tanganyika","year":2024,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Danish International Development Agency","keywords":"Nutrient; Environmental science; Productivity; Bay; Hydrology (agriculture); Primary productivity; Ecosystem; Nitrate; Oceanography; Primary production; Nutrient cycle; Ecology; Geology; Biology","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":[0.0001333094,0.000215793,0.0002570236,0.0006615262,0.0007206471,0.001019251,0.0002098655,0.0002757078,0.001668071],"category_scores_gemma":[0.0006402813,0.000252223,0.0001437126,0.0005136678,0.0006296731,0.0004604628,0.0008625548,0.000299012,0.0001214756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146989,"about_ca_system_score_gemma":0.000864107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07979614,"about_ca_topic_score_gemma":0.1533039,"domain_scores_codex":[0.9999175,0.00001221388,0.00001197022,0.00002163463,0.00001444715,0.00002225831],"domain_scores_gemma":[0.9996613,0.00007405225,0.00005964606,0.00001287653,0.00007260291,0.0001194144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001307234,0.00004642748,0.9063123,0.0001965461,0.000159187,0.0007076929,0.001315621,0.001267222,0.07795744,0.0003244694,0.0002012518,0.0102046],"study_design_scores_gemma":[0.000009267131,0.00003360456,0.9974372,0.000006732228,0.00003569639,0.00006440232,0.000421452,0.0009912689,0.0007816976,0.00008848153,0.000123111,0.000007164451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991187,0.00003733825,0.00002235935,0.00002502684,0.000001165552,0.000001626166,0.0000716611,0.000003226046,0.0007189264],"genre_scores_gemma":[0.9997011,0.00001839211,0.00002441387,0.000009098383,8.985419e-7,0.000001545568,0.00004771984,0.000002004634,0.0001948017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07979614,"threshold_uncertainty_score":0.1586633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346629807654313,"score_gpt":0.2944849723427634,"score_spread":0.2598219915773322,"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."}}