{"id":"W7155455149","doi":"","title":"Analysis of nine years of eddy covariance CO2 flux measurement in the city of Vancouver","year":2020,"lang":"en","type":"other","venue":"FreiDok plus (Universitätsbibliothek Freiburg)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Eddy covariance; Flux (metallurgy); Covariance; Statistical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002805296,0.0002754889,0.0004130821,0.001378979,0.001392739,0.001433725,0.0007821788,0.0006558822,0.001750051],"category_scores_gemma":[0.001008021,0.0003194344,0.000320123,0.003579393,0.0003039678,0.0002559823,0.0009182264,0.0004242144,0.0007160737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004646793,"about_ca_system_score_gemma":0.005506665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9678794,"about_ca_topic_score_gemma":0.9885411,"domain_scores_codex":[0.9996064,0.00003875903,0.00002350859,0.00008278977,0.0001255059,0.0001231165],"domain_scores_gemma":[0.9990166,0.00006005253,0.0000680524,0.00004230174,0.0006906209,0.0001224045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002578936,0.00009538142,0.959264,0.0001186153,0.0002518712,0.0005663358,0.001769728,0.0008660964,0.001744038,0.0001928978,0.007803424,0.0270697],"study_design_scores_gemma":[0.000004107777,0.000008733497,0.9936511,0.00002505624,0.00002624835,0.00004848611,0.001491386,0.0004539129,0.0001220846,0.00001655216,0.004141707,0.00001058127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821435,0.0003375977,0.0002368628,0.000154928,0.00002144364,0.0000350488,0.01189706,0.00002298736,0.005150722],"genre_scores_gemma":[0.9787273,0.0004398622,0.0004435064,0.00008668841,0.00001112301,0.00003891816,0.01098137,0.00002815827,0.009243066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03212059,"threshold_uncertainty_score":0.06461942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451113985056302,"score_gpt":0.2371462228965179,"score_spread":0.2026350830459548,"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."}}