{"id":"W6929967842","doi":"10.5067/wm5fxv7wpq6f","title":"SMAPVEX16 Manitoba PALS Brightness Temperature and Soil Moisture Data, Version 1","year":2019,"lang":"en","type":"dataset","venue":"Earth Observing System Data and Information System","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Moisture; Water content; Brightness temperature; Temperature measurement; Brightness","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":[0.0007868445,0.002455624,0.001178766,0.004051093,0.0008729085,0.001269097,0.002839594,0.001376187,0.03050604],"category_scores_gemma":[0.002608833,0.0008406506,0.001031781,0.008487582,0.00039209,0.0009166009,0.001150241,0.001374882,0.05571044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002148487,"about_ca_system_score_gemma":0.005003388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2235311,"about_ca_topic_score_gemma":0.2541647,"domain_scores_codex":[0.9993984,0.00006263934,0.00006157359,0.0001389167,0.0001775521,0.0001610046],"domain_scores_gemma":[0.9982877,0.0001474563,0.0001333102,0.000370172,0.0008831977,0.0001780789],"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":[0.00007733879,0.00003069915,0.001555735,0.0002728543,0.00003597706,0.00002289112,0.00002722412,0.0006567493,0.0002738618,0.0002327673,0.9943738,0.00244007],"study_design_scores_gemma":[0.0002888237,0.00002333041,0.02158014,0.0002169065,0.00004788728,0.0000575695,0.0001611199,0.001728988,0.001215816,0.0009737255,0.9736416,0.00006415517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001941195,0.00001437504,0.00003856367,0.00001919761,0.0000111319,0.000006503079,0.9992514,0.0002030508,0.0002615205],"genre_scores_gemma":[0.0003227697,0.00001865059,0.000149576,0.000009853241,0.000003191024,0.00002740963,0.9990352,0.00003956537,0.0003937643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7764689,"threshold_uncertainty_score":0.44446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512190029650449,"score_gpt":0.2427855683194617,"score_spread":0.2076636680229572,"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."}}