{"id":"W6901816787","doi":"10.6073/pasta/d34c18b3ed2acd72aafa02c4c07b9ea9","title":"Eddy Flux Measurements, Fen Station, Imnavait Creek, Alaska - 2015","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; Atmosphere (unit); Flux (metallurgy); 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":[0.001407642,0.001406121,0.001207795,0.0003896212,0.00038357,0.0003519474,0.004457127,0.0006636367,0.03719133],"category_scores_gemma":[0.0003980891,0.001644991,0.0001756142,0.0002989593,0.0007051891,0.002883172,0.004299815,0.001497636,0.2546969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972167,"about_ca_system_score_gemma":0.0003304491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000811977,"about_ca_topic_score_gemma":0.0008763543,"domain_scores_codex":[0.9906766,0.001016005,0.00130602,0.002728505,0.003103872,0.001168954],"domain_scores_gemma":[0.9909255,0.0003230115,0.001573007,0.006691125,0.00004341281,0.0004439245],"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":[0.0001329245,0.0009290652,0.0005856671,0.00009014244,0.001118184,0.00006358939,0.0001616182,0.0000236325,0.0003533258,4.11138e-7,0.9964276,0.0001138268],"study_design_scores_gemma":[0.002057799,0.0003069114,0.004959702,0.0001848561,0.0008533872,0.00002021516,0.0005893249,0.00002413616,0.0002099638,0.00003405191,0.9891152,0.001644492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001380292,0.0007439624,0.00004810155,0.00005781219,0.001022188,0.002275126,0.9950777,0.00009730341,0.0005397982],"genre_scores_gemma":[0.0002754825,0.0004127363,0.0006533267,0.0008819964,0.0005618731,0.0001907608,0.9954927,0.0003704586,0.001160657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2175056,"threshold_uncertainty_score":0.9998689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1449004691366881,"score_gpt":0.3269979391355204,"score_spread":0.1820974699988323,"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."}}