{"id":"W4393547528","doi":"10.5281/zenodo.3240953","title":"Modified half-hourly FLUXNET dataset for 10 Boreal forest sites (CA-Obs,CA-Ojp,CA-Qfo,FI-Hyy,FI-Ken,FI-Let,FI-Sod,RU-Fyo,RU-Zot,US-Prr)","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"FluxNet; Chemistry; Environmental science; Biology; Ecology","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":[0.0006741681,0.001675044,0.001253439,0.001260175,0.0005602941,0.001170151,0.001957155,0.001533035,0.01641436],"category_scores_gemma":[0.001581423,0.0004783114,0.001280891,0.002343602,0.0002907019,0.001432217,0.00061349,0.001192109,0.01217165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008315591,"about_ca_system_score_gemma":0.001133247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05945439,"about_ca_topic_score_gemma":0.06510965,"domain_scores_codex":[0.999579,0.00005567007,0.00003681877,0.0001361102,0.0001223429,0.00007007087],"domain_scores_gemma":[0.9994156,0.00009214311,0.00004959847,0.0001206873,0.0002526642,0.00006928441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002905335,0.0001248827,0.00948253,0.0005733739,0.0001662274,0.0001248919,0.00009745324,0.008216504,0.001371967,0.00149862,0.9687496,0.009303494],"study_design_scores_gemma":[0.0008680322,0.0000861041,0.05823527,0.0003397612,0.0001567681,0.0002610335,0.0003859279,0.04213856,0.003222957,0.004987826,0.889144,0.0001738076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006056979,0.0001754353,0.000953156,0.0002082124,0.0001841304,0.0000273061,0.987023,0.002915951,0.002455766],"genre_scores_gemma":[0.009411491,0.0000813551,0.00192383,0.00006675515,0.00003441514,0.00007024319,0.9874528,0.0003380253,0.0006210937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9405456,"threshold_uncertainty_score":0.1182166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256711988029165,"score_gpt":0.2355742367200721,"score_spread":0.2099030379171556,"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."}}