{"id":"W4302012710","doi":"10.17190/amf/1634879","title":"AmeriFlux CA-CF2 Churchill Fen Site 2","year":2020,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Geography; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006584715,0.001804948,0.001204247,0.003283253,0.0008046505,0.002011024,0.002184042,0.001254715,0.0532307],"category_scores_gemma":[0.002496075,0.0005540216,0.0008548407,0.006863262,0.0003558387,0.001381492,0.001157597,0.001152861,0.06643306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002372018,"about_ca_system_score_gemma":0.003077689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2068743,"about_ca_topic_score_gemma":0.277086,"domain_scores_codex":[0.9992892,0.00006148894,0.00004760614,0.0002276201,0.0002206069,0.0001534175],"domain_scores_gemma":[0.9988008,0.0001108535,0.0001553029,0.0001981554,0.0005631318,0.0001718077],"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":[0.00003899886,0.000008628095,0.0007707057,0.000178476,0.00001318378,0.00001270922,0.00001318904,0.000115368,0.00005480646,0.0002103382,0.9975896,0.0009939827],"study_design_scores_gemma":[0.0001573085,0.00001145885,0.01033425,0.0001903576,0.00001986404,0.00004548164,0.00008539097,0.0003677937,0.0001947823,0.0004398823,0.9881232,0.00003009595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001084924,0.00002782171,0.00001587404,0.00002269865,0.00001053279,0.000004089376,0.9992182,0.00008776915,0.0005045697],"genre_scores_gemma":[0.0002640992,0.00001724985,0.00008598276,0.00001612628,0.000003682185,0.00001957767,0.9991066,0.00003186187,0.0004548267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7931257,"threshold_uncertainty_score":0.4113404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008820656730591687,"score_gpt":0.2131088878967218,"score_spread":0.2042882311661301,"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."}}