{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007427531,0.001089126,0.0006322908,0.001468105,0.0006759421,0.001083245,0.001127614,0.0007666097,0.01352645],"category_scores_gemma":[0.001244137,0.0004438021,0.0004174439,0.002596261,0.0002163959,0.0007555604,0.0006404131,0.0006765985,0.02229619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007436345,"about_ca_system_score_gemma":0.001772862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1026108,"about_ca_topic_score_gemma":0.1536877,"domain_scores_codex":[0.9996191,0.00003741599,0.00004387441,0.0001268686,0.0001262176,0.0000464694],"domain_scores_gemma":[0.9991787,0.00006063747,0.00009270903,0.00019944,0.0003738837,0.00009463677],"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":[0.0002202649,0.0001198137,0.027842,0.0006128644,0.0001042706,0.0001156239,0.0001572143,0.001873628,0.0008694898,0.0007666374,0.9521021,0.01521613],"study_design_scores_gemma":[0.0001607163,0.00003900823,0.06852099,0.0002376229,0.00004631529,0.00006198131,0.0003240391,0.002426659,0.001789205,0.0009124962,0.9254367,0.00004418934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002241208,0.00006058154,0.0001572583,0.00003600198,0.00003115712,0.000009772266,0.9956596,0.0005338154,0.0012705],"genre_scores_gemma":[0.00246484,0.0000365345,0.0005371239,0.000009333875,0.00000579063,0.00003132711,0.9955899,0.00004811429,0.00127706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1026108,"threshold_uncertainty_score":0.204027,"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."}}