{"id":"W6910805400","doi":"10.5067/gmmwkuucyyir","title":"SMAPVEX16 Manitoba Station Soil Moisture Data, Version 1","year":2018,"lang":"en","type":"dataset","venue":"Earth Observing System Data and Information System","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Moisture; Water content; Hydrology (agriculture); Soil water; Surface runoff","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":[0.000833166,0.002456174,0.001229301,0.003955896,0.0007649656,0.001323068,0.003075329,0.001273077,0.03212119],"category_scores_gemma":[0.00343036,0.00082785,0.0009540038,0.007967183,0.0003700864,0.0008576052,0.001277209,0.001350492,0.05494467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729497,"about_ca_system_score_gemma":0.005152921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2302583,"about_ca_topic_score_gemma":0.3102647,"domain_scores_codex":[0.9994472,0.00007178687,0.00005959513,0.0001370316,0.0001548232,0.0001296451],"domain_scores_gemma":[0.9978176,0.000176469,0.0001887233,0.0004745657,0.00109147,0.0002510537],"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":[0.00007072441,0.00002828525,0.002177247,0.000221782,0.00003234469,0.0000206416,0.00003541295,0.0004604593,0.0001561925,0.0001553136,0.9945913,0.002050254],"study_design_scores_gemma":[0.0003770494,0.00002298817,0.029065,0.0002401479,0.00004632264,0.00005126002,0.0001874177,0.001766171,0.0008424242,0.0008532848,0.9664897,0.00005826252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002733254,0.0000155397,0.00004250776,0.00002425338,0.00001366774,0.000007976916,0.9990246,0.0003010616,0.0002970276],"genre_scores_gemma":[0.0004728927,0.00001940308,0.0001592846,0.00001143674,0.000004726821,0.000040887,0.9986752,0.00005634222,0.0005598286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7697417,"threshold_uncertainty_score":0.4578361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209075528536473,"score_gpt":0.2525054390238892,"score_spread":0.2104146837385244,"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."}}