{"id":"W2736092993","doi":"10.1002/ecs2.1881","title":"Seasonal increases in fish trophic niche plasticity within a flood‐pulse river ecosystem (Tonle Sap Lake, Cambodia)","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Guelph","funders":"Belmont Forum; University of Washington; John D. and Catherine T. MacArthur Foundation","keywords":"Ecology; Trophic level; Ecological niche; Food web; Ecosystem; Niche; Habitat; Lake ecosystem; Range (aeronautics); Floodplain; Threatened species; Wetland; Environmental science; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000377411,0.000250277,0.0004115241,0.00002208179,0.0004170247,0.0001062267,0.0008771053,0.0001845811,0.02347117],"category_scores_gemma":[0.0004947851,0.0002416617,0.0001217454,0.0001365072,0.0002752251,0.0004377076,0.0004555658,0.0003191415,0.004211025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001891,"about_ca_system_score_gemma":0.00004734527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00240966,"about_ca_topic_score_gemma":0.4130716,"domain_scores_codex":[0.9980011,0.0001861461,0.0003823977,0.0005857941,0.0003360362,0.0005085202],"domain_scores_gemma":[0.9986714,0.0001397717,0.0002990508,0.0006971506,0.00001410423,0.0001785822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005711243,0.0002889039,0.9678808,0.00001863936,0.00005058803,0.0002251124,0.0001932814,0.00527141,0.0002233589,0.00005508656,0.02494475,0.0007909326],"study_design_scores_gemma":[0.0008647204,0.00008005791,0.9783719,0.00003299546,0.00005046725,0.00002413896,0.00007534584,0.01620029,0.000316389,0.0002519032,0.003416245,0.0003155706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603745,0.00001476869,0.00001776758,0.0002150873,0.0001659255,0.000238194,0.00008676499,0.00003975374,0.03884718],"genre_scores_gemma":[0.9962174,0.00001202303,0.000810457,0.0003380852,0.000117791,0.0000536889,0.00001448109,0.00002695136,0.002409109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.410662,"threshold_uncertainty_score":0.9965643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009463185137227907,"score_gpt":0.2213031922503791,"score_spread":0.2118400071131512,"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."}}