{"id":"W6919993107","doi":"10.60692/8fr1b-2re31","title":"Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms","year":2016,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Dental Erosion and Treatment","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"FluxNet; Sensible heat; Latent heat; Primary production; Water cycle; Carbon cycle; Precipitation; Coupled model intercomparison project; Flux (metallurgy); Atmosphere (unit)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001225084,0.0002327016,0.0002304477,0.00005156552,0.0001700774,0.0001791332,0.000102352,0.000114516,0.00001323731],"category_scores_gemma":[0.000009744421,0.0001210791,0.00004490643,0.0001149037,0.00005397071,0.0005905398,0.0001143484,0.00003624559,0.0001553988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876514,"about_ca_system_score_gemma":0.00001463123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001043492,"about_ca_topic_score_gemma":0.00001138746,"domain_scores_codex":[0.9986237,0.00004872247,0.0004256895,0.0002081803,0.0004031582,0.0002905987],"domain_scores_gemma":[0.9991868,0.000009989584,0.0002768188,0.0002901758,0.00009152302,0.0001447129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000123176,0.000003583529,0.9910184,0.00008321715,0.00005355002,0.00003915131,0.003959449,0.000002321842,0.00002799403,0.00009007462,0.00003862002,0.004560477],"study_design_scores_gemma":[0.006899818,0.0002670516,0.9621953,0.001609866,0.00008607993,0.001604294,0.0133004,0.001881431,0.0110639,0.000004032094,0.0005399741,0.0005477849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942248,0.00001491451,0.001833027,0.0000176557,0.0003277114,0.0001166388,0.0003635255,0.0002746128,0.0028271],"genre_scores_gemma":[0.9983962,3.975468e-7,0.0001399089,0.0000403489,0.00006357877,0.00004617777,0.00002906558,0.00001117708,0.001273193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02882303,"threshold_uncertainty_score":0.4937464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178209181651528,"score_gpt":0.2329082814218032,"score_spread":0.2150873632566504,"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."}}