{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603202,0.0003157411,0.0003652899,0.001210603,0.003519721,0.001058312,0.0004752496,0.000477863,0.00138607],"category_scores_gemma":[0.0003639528,0.000219802,0.0002040229,0.001133347,0.0006169642,0.0003357479,0.0004831858,0.0002995678,0.0001842362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008113979,"about_ca_system_score_gemma":0.005945648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9588684,"about_ca_topic_score_gemma":0.9793707,"domain_scores_codex":[0.9998679,0.000003072498,0.000005438922,0.00003118859,0.00004798562,0.00004428977],"domain_scores_gemma":[0.9997857,0.00001182321,0.00001075887,0.000003781209,0.0001623849,0.00002557746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001553301,0.00005183051,0.6614378,0.0002198307,0.0001721012,0.0006214541,0.004955331,0.001172074,0.2964528,0.000731713,0.001549628,0.03108213],"study_design_scores_gemma":[0.000009776227,0.00002172135,0.9889889,0.0000141684,0.0000415874,0.000113901,0.001188103,0.0007114834,0.006069805,0.0000773318,0.002747203,0.00001595187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965999,0.0002698292,0.000120887,0.00007386716,0.000004698075,0.000005984316,0.0005750965,0.000006963597,0.002342799],"genre_scores_gemma":[0.9974399,0.0002270263,0.0002581734,0.00004473026,0.000002377169,0.000004071399,0.0004985603,0.000008640879,0.001516613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04113156,"threshold_uncertainty_score":0.08274752,"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."}}