{"id":"W6958280363","doi":"10.6073/pasta/5e292a843cf5f8f6c884ee6e8316f1c1","title":"Eddy Flux Measurements, Ridge Station, Imnavait Creek, Alaska - 2015","year":2019,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"International Human Rights and Reproductive Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ridge; Arctic; Eddy covariance; Flux (metallurgy); Atmosphere (unit); The arctic; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007945184,0.0008699429,0.0005185721,0.001374526,0.0005951358,0.0009429852,0.000941878,0.0006339526,0.006120974],"category_scores_gemma":[0.001296028,0.0003340858,0.0004416018,0.00249666,0.0002049453,0.0006133404,0.0006102622,0.0006456407,0.01029637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006868398,"about_ca_system_score_gemma":0.001462214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08597585,"about_ca_topic_score_gemma":0.136103,"domain_scores_codex":[0.9996253,0.00004126569,0.0000522695,0.0001194805,0.0001239092,0.00003766037],"domain_scores_gemma":[0.9992902,0.00005777273,0.00009061646,0.0001591749,0.0003160238,0.00008616267],"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":[0.0003944341,0.0002454236,0.07741285,0.0009181677,0.0002460578,0.0002015558,0.0002830723,0.003551398,0.001419933,0.001281683,0.8916233,0.02242213],"study_design_scores_gemma":[0.0002668908,0.00007548397,0.1898429,0.0003294726,0.00008948603,0.00009010827,0.0005526627,0.004032636,0.002469928,0.001160165,0.801024,0.00006626828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006482468,0.0001153097,0.0001789775,0.00005468274,0.00003670326,0.00001613046,0.9910978,0.000500366,0.001517591],"genre_scores_gemma":[0.005133012,0.00005722292,0.0006154203,0.00001397762,0.000008118274,0.00003786076,0.9929181,0.00003704168,0.001179328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08597585,"threshold_uncertainty_score":0.1709508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1528643440659085,"score_gpt":0.3646550968566548,"score_spread":0.2117907527907462,"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."}}