{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004876877,0.001044197,0.001276634,0.00088162,0.001022865,0.002038352,0.005628738,0.0009642317,0.00007150761],"category_scores_gemma":[0.0004578585,0.000974956,0.00007976962,0.0007778476,0.0001226229,0.01996008,0.005248073,0.0007236754,0.02465155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005721009,"about_ca_system_score_gemma":0.0004498928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007122972,"about_ca_topic_score_gemma":0.004284798,"domain_scores_codex":[0.9922231,0.0008126359,0.00268079,0.001315698,0.002164333,0.0008034824],"domain_scores_gemma":[0.9843023,0.000184374,0.003270716,0.01097901,0.0008693481,0.0003942366],"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":[0.00009776303,0.00001409879,0.0001407665,0.01764552,0.0002024434,0.00001371815,0.0002069874,0.00001871168,0.000003724119,0.00004366958,0.9813759,0.0002366507],"study_design_scores_gemma":[0.001197026,0.00008355985,0.001047761,0.006213239,0.0004158794,0.0002812988,0.008209562,0.02038079,0.000004934985,2.382377e-7,0.9612409,0.0009248458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006830432,0.0003212259,0.0004195058,0.00002590633,0.004042143,0.001773716,0.9912964,0.000814343,0.0006237948],"genre_scores_gemma":[0.002999804,0.00007272555,0.000394788,0.0001236715,0.001432643,0.0000505756,0.9947864,0.00009317754,0.00004625761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02458004,"threshold_uncertainty_score":0.9997513,"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."}}