{"id":"W3034869182","doi":"","title":"Fe isotope composition of seston from Canadian lakes: implications for Fe chemistry and bioavailability","year":2008,"lang":"en","type":"article","venue":"GeCAS","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bioavailability; Environmental chemistry; Seston; Composition (language); Chemistry; Isotope; Environmental science; Nutrient; Organic chemistry; Biology; Phytoplankton","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006004025,0.00005767085,0.00009367967,0.000004907937,0.0001244404,0.000004988891,0.00006934492,0.00005026262,0.0002001289],"category_scores_gemma":[0.0000122737,0.00005750264,0.00002220024,0.00004785204,0.00009686257,0.00004139572,0.00001811952,0.00003052733,0.0000178056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108438,"about_ca_system_score_gemma":0.00002626762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07833955,"about_ca_topic_score_gemma":0.07602265,"domain_scores_codex":[0.9995553,0.000008671925,0.0001316358,0.000154016,0.00004450186,0.0001057978],"domain_scores_gemma":[0.9996087,0.00004514679,0.00005284861,0.0001831879,0.00001011987,0.0001000174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001015516,0.00005577159,0.9261629,0.00004485737,0.00001332005,0.000001115199,0.000485858,0.0000987645,0.06736357,0.0002999863,0.004051166,0.001412511],"study_design_scores_gemma":[0.0003419993,0.00003703036,0.9756867,0.00001777634,0.00001868962,0.00002794193,0.0001095956,0.006699079,0.003772926,0.002102511,0.01098568,0.0002000315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933386,0.00003074442,0.0005138095,0.0003750311,0.00001938906,0.0002028713,0.0005863133,0.000007643552,0.00492564],"genre_scores_gemma":[0.9982859,0.000009251672,0.001305692,0.00008275131,0.00001723994,0.00001979621,0.0001289835,0.000004574385,0.0001457895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06359064,"threshold_uncertainty_score":0.9408375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363547548674096,"score_gpt":0.2175119261962969,"score_spread":0.2038764507095559,"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."}}