{"id":"W6958405170","doi":"10.6073/pasta/975d08837b312d7bf9775efa648bb81b","title":"Eddy Flux Measurements, Fen Station, Imnavait Creek, Alaska - 2018 - Provisional","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; Eddy covariance; The arctic; Flux (metallurgy); Atmosphere (unit); Precipitation; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001330482,0.001390903,0.001124852,0.000386805,0.0004751114,0.0003636835,0.004280776,0.0006503833,0.041145],"category_scores_gemma":[0.0004149287,0.00155361,0.0001864053,0.0002779261,0.0008373886,0.003083908,0.004706073,0.001471602,0.2046616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934657,"about_ca_system_score_gemma":0.0004879486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006155006,"about_ca_topic_score_gemma":0.0005318206,"domain_scores_codex":[0.9899824,0.0009042371,0.001361592,0.002903725,0.003712851,0.001135198],"domain_scores_gemma":[0.9918889,0.0003733723,0.00158366,0.005682006,0.0000436381,0.0004284461],"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":[0.0001961314,0.001295284,0.0005510049,0.0001056241,0.001003478,0.00005670375,0.0001216246,0.0000208165,0.0004410239,7.167459e-7,0.9960181,0.0001895478],"study_design_scores_gemma":[0.002099412,0.0004280535,0.007059928,0.0002368487,0.0006538009,0.0000240178,0.0003707396,0.00003975076,0.0001773965,0.00004762158,0.9872743,0.001588131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002144638,0.0004377119,0.00005214402,0.00005064511,0.001062484,0.002760406,0.9949269,0.00008675566,0.0004084724],"genre_scores_gemma":[0.0002351917,0.0002217818,0.001056921,0.0008762107,0.0006492748,0.0002296814,0.9951664,0.0003394005,0.00122516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1635166,"threshold_uncertainty_score":0.9998841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390242183183211,"score_gpt":0.3144648098872352,"score_spread":0.1754405915689142,"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."}}