{"id":"W2794966848","doi":"10.1139/as-2017-0055","title":"Photodegraded dissolved organic matter from peak freshet river discharge as a substrate for bacterial production in a lake-rich great Arctic delta","year":2018,"lang":"en","type":"article","venue":"Arctic Science","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Fisheries and Oceans Canada; Division of Arctic Sciences; Natural Sciences and Engineering Research Council of Canada; Aurora Research Institute; North Carolina State University","keywords":"Dissolved organic carbon; Substrate (aquarium); Phytoplankton; Environmental chemistry; Environmental science; Organic matter; Microbial population biology; Chemistry; Ecology; Nutrient; Biology; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101655,0.0001825322,0.000166262,0.0002378497,0.000357745,0.0004436617,0.0001350023,0.0001504645,0.0002236632],"category_scores_gemma":[0.0001348379,0.0001560487,0.0001449977,0.0002718587,0.0002059457,0.0001499479,0.0003735886,0.0001460111,0.0000388156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005642957,"about_ca_system_score_gemma":0.0004308463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01713189,"about_ca_topic_score_gemma":0.04660894,"domain_scores_codex":[0.9999275,0.00001185365,0.000004609462,0.00001956754,0.0000187374,0.00001770361],"domain_scores_gemma":[0.999926,0.000009692846,0.00001882708,0.000003260051,0.0000168991,0.00002532279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006623138,0.00006616805,0.2257242,0.0000860967,0.00004463955,0.0002287308,0.0008107462,0.0003752766,0.7667685,0.00005017218,0.00006203478,0.005121104],"study_design_scores_gemma":[0.000005988266,0.0002585833,0.9654579,0.000006736212,0.00003069832,0.00009129853,0.0007246186,0.0006002023,0.03243544,0.0000230401,0.0003595598,0.000005924164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998769,0.00002198057,0.00001578532,0.000002230634,2.365654e-7,9.073357e-7,0.00002760504,5.366387e-7,0.00005384468],"genre_scores_gemma":[0.9993708,0.00006979433,0.0001700509,0.000006394504,6.762343e-7,0.000004028297,0.0001623014,0.000001050311,0.0002149653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01713189,"threshold_uncertainty_score":0.03406435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469092419325904,"score_gpt":0.2406231499675504,"score_spread":0.2259322257742913,"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."}}