{"id":"W6920273102","doi":"10.6073/pasta/874dd6c8657c49457c25c410bd5e9040","title":"Eddy Flux Measurements, Ridge Station, Imnavait Creek, Alaska - 2008","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":"Ridge; Arctic; Eddy covariance; Flux (metallurgy); The arctic; Atmosphere (unit); Precipitation","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":[0.001246223,0.001463251,0.001231177,0.0004194411,0.000445787,0.0003167441,0.004385686,0.0006664096,0.03481274],"category_scores_gemma":[0.0004093403,0.00173045,0.0001941126,0.0003378738,0.0007949766,0.002797055,0.004024262,0.001587291,0.2487436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175928,"about_ca_system_score_gemma":0.0003164569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000753261,"about_ca_topic_score_gemma":0.001016383,"domain_scores_codex":[0.9905281,0.0009955131,0.001383888,0.002828912,0.003027669,0.001235916],"domain_scores_gemma":[0.9908137,0.0003409679,0.001593864,0.006773592,0.00004087818,0.0004369367],"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":[0.0001323072,0.001084501,0.0008157787,0.00009720181,0.001092616,0.00008675312,0.0001435637,0.00002483767,0.0004489225,4.219531e-7,0.9959484,0.000124673],"study_design_scores_gemma":[0.002094888,0.0002977971,0.00780457,0.0001833851,0.0008192359,0.00002695646,0.0004343252,0.00002679382,0.0003202296,0.00001966413,0.9862734,0.001698767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002459179,0.00063566,0.00004796687,0.00003591394,0.001074438,0.002261802,0.9951413,0.0001018052,0.0004552257],"genre_scores_gemma":[0.0002933203,0.0005717269,0.0005538655,0.0009560337,0.0005782389,0.0002010227,0.995667,0.0003789648,0.0007997786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2139308,"threshold_uncertainty_score":0.9998117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387344174651791,"score_gpt":0.3093030083656257,"score_spread":0.1705685909004467,"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."}}