{"id":"W6976472774","doi":"10.6073/pasta/afb6900e4d0d15aeb15c92279200199f","title":"Eddy Flux Measurements, Pleistocene Park, Cherskii, Russia - 2011","year":2019,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Pleistocene; The arctic; Atmosphere (unit); Flux (metallurgy); Climate change; Water vapor","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":[0.0006285614,0.001070337,0.0007270614,0.0013661,0.0005101441,0.001064429,0.0009335739,0.0007040285,0.004651579],"category_scores_gemma":[0.001076075,0.0004147376,0.0006416992,0.002385288,0.0002113116,0.0005189085,0.0006480724,0.0007136777,0.008509182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007220096,"about_ca_system_score_gemma":0.001441615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06241533,"about_ca_topic_score_gemma":0.09779817,"domain_scores_codex":[0.9996189,0.00004541076,0.00004551547,0.0001176478,0.0001093301,0.00006320155],"domain_scores_gemma":[0.9993703,0.00005464577,0.00008834984,0.0001746245,0.0002377469,0.00007429806],"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":[0.0006605073,0.0002051737,0.06223619,0.001342185,0.0003862657,0.0002530464,0.0001722226,0.004162237,0.002506295,0.001218067,0.9064218,0.02043603],"study_design_scores_gemma":[0.0005290919,0.00007305964,0.332104,0.000350664,0.0001247996,0.0001890343,0.000344364,0.005164152,0.003528218,0.000746525,0.6567513,0.00009470611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004802919,0.00009960885,0.000151674,0.0000386603,0.00002526488,0.00001461536,0.9937034,0.0004127286,0.0007510884],"genre_scores_gemma":[0.003785688,0.00004634621,0.0003817889,0.000009161103,0.000005119473,0.00002817266,0.9952202,0.00003288009,0.0004905987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06241533,"threshold_uncertainty_score":0.1241041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766973794745114,"score_gpt":0.306733551813602,"score_spread":0.1300361723390906,"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."}}