{"id":"W3121364921","doi":"10.1002/essoar.10504607.1","title":"A New Lake Classification System based on Thermal Profiles to Better Understand the Most Dominant Lake Type on Earth","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry; Environment and Climate Change Canada; The Scarborough Hospital; University of Guelph; Queen's University; Ministry of the Environment, Conservation and Parks; University of Toronto","funders":"","keywords":"World Wide Web; Christian ministry; Electronic mail; Library science; Computer science; Theology; Philosophy","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":[0.000271618,0.000498481,0.0003418084,0.002033162,0.0005647991,0.001190167,0.0003191519,0.0003710766,0.005069357],"category_scores_gemma":[0.0008211445,0.0002265322,0.0005136213,0.001621822,0.0002240531,0.001715545,0.0006929596,0.0004438603,0.001493432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006151429,"about_ca_system_score_gemma":0.0007595735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157633,"about_ca_topic_score_gemma":0.01545323,"domain_scores_codex":[0.9998153,0.00001597638,0.00002864278,0.0000630685,0.00004459874,0.00003251179],"domain_scores_gemma":[0.9996744,0.00003449369,0.00005405159,0.00003328022,0.0001634691,0.00004021541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008613,0.000276023,0.2094048,0.0005103883,0.0003349443,0.0004060621,0.001212932,0.05546562,0.08805235,0.02595495,0.05861165,0.5589089],"study_design_scores_gemma":[0.0001121209,0.0001862733,0.1506542,0.0001048142,0.0001713485,0.0003685857,0.0004853939,0.7530075,0.01641361,0.01518611,0.06312793,0.000182169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3237949,0.0006511788,0.6013246,0.0007286689,0.0004174581,0.0006211257,0.02740724,0.01544909,0.02960577],"genre_scores_gemma":[0.5929784,0.0002655424,0.3796285,0.0001289978,0.0001283276,0.0003239492,0.01720992,0.0005993913,0.008737014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01157633,"threshold_uncertainty_score":0.02301788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312102933880921,"score_gpt":0.2189560735901314,"score_spread":0.1877457802020392,"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."}}