{"id":"W2106641592","doi":"10.1093/plankt/fbp065","title":"Environmental factors controlling the vertical distribution of phytoplankton in lakes","year":2009,"lang":"en","type":"article","venue":"Journal of Plankton Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Phytoplankton; Environmental science; Oceanography; Distribution (mathematics); Ecology; Biology; Geology; Nutrient; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002458869,0.0001054123,0.000278429,0.00007057162,0.0001058802,0.00002926295,0.0004103492,0.00008616738,0.0002407138],"category_scores_gemma":[0.0001949308,0.00006475719,0.00009309191,0.000232806,0.0002058784,0.000155273,0.00005320303,0.0006023176,0.00001999417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687424,"about_ca_system_score_gemma":0.00003101596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007459187,"about_ca_topic_score_gemma":0.0001238476,"domain_scores_codex":[0.9975718,0.0002932685,0.0005841955,0.0001246044,0.001090502,0.0003356696],"domain_scores_gemma":[0.998987,0.0005639461,0.0001565441,0.0001723097,0.00001670901,0.0001035142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000625805,0.0006218015,0.9302882,0.0000219485,0.00003984143,0.0001092807,0.001481453,0.006606422,0.05045926,0.001439012,0.002909412,0.005397586],"study_design_scores_gemma":[0.001114639,0.0008786996,0.9772962,0.0001014471,0.00001485165,0.00006377541,0.0009893143,0.008005357,0.004729879,0.001455462,0.00521405,0.0001362828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981969,0.0001452819,0.0002477225,0.0004105893,0.00008510241,0.0001674905,0.00003526162,0.000002204691,0.0007094588],"genre_scores_gemma":[0.9997697,0.00006704051,0.00002223524,0.00002166343,0.00006052773,0.00000109816,0.00001421621,0.000004772393,0.00003874981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04700806,"threshold_uncertainty_score":0.2640721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248633698043292,"score_gpt":0.2912908199935775,"score_spread":0.2664274501892483,"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."}}