{"id":"W4244817923","doi":"10.1890/i0012-9658-92-5-1104","title":"Differential effects of energy and mass influx on the landscape synchrony of lake ecosystems","year":2011,"lang":"en","type":"article","venue":"Ecology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Université de Moncton; University of Regina","funders":"","keywords":"Environmental science; Plankton; Ecosystem; Lake ecosystem; Atmospheric sciences; Snow; Ecology; Aquatic ecosystem; Forcing (mathematics); Precipitation; Nutrient; Irradiance; Phytoplankton; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006451169,0.0001949475,0.0002940496,0.0006169745,0.0002723412,0.0006730055,0.000151117,0.0002131569,0.0006169828],"category_scores_gemma":[0.002251376,0.0002002642,0.000264022,0.0003874931,0.0004697507,0.0005015535,0.001105838,0.0002033601,0.0000675029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330577,"about_ca_system_score_gemma":0.0001800872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953607,"about_ca_topic_score_gemma":0.004397837,"domain_scores_codex":[0.9995838,0.0001250439,0.00004282346,0.0001203977,0.00006918013,0.00005881143],"domain_scores_gemma":[0.9984646,0.0005158001,0.0005644765,0.0001549342,0.0001173073,0.0001829709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003980255,0.00004154952,0.9625893,0.00001766175,0.0001551863,0.0001286096,0.0004093136,0.001578704,0.02935598,0.0001866734,0.00005341046,0.005085513],"study_design_scores_gemma":[0.00000150424,0.00003697759,0.9990619,7.187521e-7,0.000009288299,0.00001869189,0.00003773007,0.0005153114,0.0002630009,0.00002318445,0.00002959073,0.000002193736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997039,0.00002642013,0.00008150292,0.000005105308,6.713972e-7,0.000001006039,0.00002718818,0.000003298363,0.0001507215],"genre_scores_gemma":[0.9998784,0.000008678054,0.00003282875,0.000002627476,0.000001850076,0.000001284375,0.00004726659,0.000001337089,0.00002566445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001953607,"threshold_uncertainty_score":0.003884435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006237200654122217,"score_gpt":0.1587418671059874,"score_spread":0.1525046664518652,"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."}}