{"id":"W2292538751","doi":"10.1139/cjfas-2015-0214","title":"Seasonal hydrology shifts production sources supporting fishes in rivers of the Lower Mekong Basin","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seston; Riparian zone; Environmental science; Benthic zone; Macrophyte; Biomass (ecology); Tributary; Hydrology (agriculture); Trophic level; Ecology; Geography; Phytoplankton; Habitat; Biology; Geology; 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":[0.0001507891,0.0001154433,0.00009552024,0.0006273142,0.000330939,0.0004449367,0.0001580832,0.0001064875,0.0007150212],"category_scores_gemma":[0.0003961749,0.0001917283,0.0001034875,0.0004411209,0.0003248394,0.0002364634,0.0004254121,0.0001344419,0.0000548346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000978612,"about_ca_system_score_gemma":0.0005064766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09397592,"about_ca_topic_score_gemma":0.1969642,"domain_scores_codex":[0.9999216,0.00001503039,0.000006679789,0.00002222199,0.000009750284,0.00002468868],"domain_scores_gemma":[0.9998086,0.00004156981,0.00006459829,0.00000913548,0.00002867361,0.00004744203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008035721,0.00001523934,0.9890029,0.00001671684,0.00002589576,0.00009348361,0.001345938,0.0004572937,0.004397765,0.0001136653,0.00007323917,0.004377485],"study_design_scores_gemma":[0.000001445675,0.000006059563,0.9988004,0.000003005202,0.000004460089,0.00002086831,0.0004737397,0.0004693014,0.00009462963,0.00001865906,0.0001048238,0.000002631701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997807,0.0000130722,0.00001763533,0.000009530092,2.45896e-7,7.73537e-7,0.00004140102,0.000001329706,0.0001354413],"genre_scores_gemma":[0.9998281,0.00001330533,0.00002922368,0.000003045084,3.906476e-7,0.000001353858,0.00005078569,6.943627e-7,0.00007319586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09397592,"threshold_uncertainty_score":0.1868579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036917180287247,"score_gpt":0.194150816881101,"score_spread":0.1837816450782286,"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."}}