{"id":"W6939713537","doi":"10.6073/pasta/2e5db0a1d98222eafdc6fb8c5abd3f4b","title":"Eddy Flux Measurements, Pleistocene Park, Cherskii, Russia - 2014","year":2019,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Pleistocene; The arctic; Atmosphere (unit); Water vapor; Climate change; Flux (metallurgy); Carbon flux","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":[0.0005408817,0.0008430491,0.0005667747,0.001256972,0.0004215854,0.0009208092,0.0007690661,0.0005652393,0.003537962],"category_scores_gemma":[0.0009509192,0.00030256,0.0005309342,0.001887604,0.0001934626,0.000443293,0.0005954678,0.000552777,0.005995676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006543619,"about_ca_system_score_gemma":0.001300238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0646594,"about_ca_topic_score_gemma":0.1037007,"domain_scores_codex":[0.9996947,0.00003506207,0.00003429424,0.0001007683,0.00008590236,0.00004926535],"domain_scores_gemma":[0.999551,0.00003654167,0.00006582314,0.0001149101,0.0001747767,0.00005700354],"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":[0.0008917521,0.0002337996,0.1348911,0.001605455,0.0005601135,0.0003224382,0.0002265879,0.005234759,0.003455111,0.001724339,0.8235787,0.02727589],"study_design_scores_gemma":[0.0004707395,0.00006784562,0.3940392,0.0003511019,0.0001378565,0.0001684883,0.0003513856,0.004273522,0.003041078,0.0006569446,0.596373,0.0000689097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009398012,0.0001777006,0.0001741571,0.00004379209,0.00002885936,0.00001716851,0.9886242,0.0003889339,0.001147135],"genre_scores_gemma":[0.007098753,0.00007738799,0.0004466659,0.00001262938,0.000006587012,0.0000298571,0.9916653,0.00003413071,0.0006286483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0646594,"threshold_uncertainty_score":0.1285661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08504077970646556,"score_gpt":0.2546489812542659,"score_spread":0.1696082015478004,"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."}}