{"id":"W6902689347","doi":"10.7298/x4jh3jf0","title":"The Ecological Importance of Deep Chlorophyll Maxima in the Laurentian Great Lakes","year":2018,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diel vertical migration; Phytoplankton; Chlorophyll a; Zooplankton; Water column; Deep chlorophyll maximum; Biomass (ecology); Ecosystem; Food web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003046198,0.00009901325,0.0001237245,0.00002547213,0.0002336118,0.00001737263,0.0006694238,0.00006035433,0.001386925],"category_scores_gemma":[0.00001947859,0.00006198011,0.00006216058,0.0003806774,0.0004016844,0.0000881973,0.0001577908,0.0001268598,0.0001784566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008114318,"about_ca_system_score_gemma":0.000006847131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000203301,"about_ca_topic_score_gemma":0.134635,"domain_scores_codex":[0.9992085,0.0001193517,0.0001568929,0.0001972691,0.00009730051,0.0002207391],"domain_scores_gemma":[0.9992665,0.0001712624,0.0001153943,0.0003974586,0.000007941584,0.0000414198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004030525,0.0001094178,0.9826207,0.000004959584,0.00001269216,0.00006120867,0.0004945134,0.0007390291,0.00002697658,0.01368001,0.001437156,0.0007730009],"study_design_scores_gemma":[0.0005372023,0.0002817203,0.9053438,0.00001132925,0.00002808874,0.00001790833,0.001511525,0.03024623,0.00003300687,0.006195239,0.05555237,0.0002415756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9300749,0.00001477257,0.0002562381,0.0001363286,0.00009685702,0.0001541329,0.000008756579,0.00001092027,0.06924707],"genre_scores_gemma":[0.9989762,0.0000159558,0.00005747736,0.00005697815,0.00002716078,7.435092e-7,0.000004176168,0.000004643072,0.0008567019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344317,"threshold_uncertainty_score":0.999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489316279803364,"score_gpt":0.1834052529617822,"score_spread":0.1685120901637486,"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."}}