{"id":"W2035179364","doi":"10.1080/01431161.2010.483485","title":"Evaluation of soil moisture derived from passive microwave remote sensing over agricultural sites in Canada using ground-based soil moisture monitoring networks","year":2010,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Water content; Remote sensing; Radiometer; Atmospheric sciences; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006674582,0.0005960444,0.0002787636,0.0008717959,0.0007304105,0.0007539636,0.0008200441,0.0002460796,0.0004873161],"category_scores_gemma":[0.002013859,0.0002297568,0.0002926591,0.001845967,0.0002993591,0.00050094,0.0003833338,0.0002542291,0.000117968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01178634,"about_ca_system_score_gemma":0.005859153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9818539,"about_ca_topic_score_gemma":0.9888588,"domain_scores_codex":[0.9995884,0.00003131725,0.00002050673,0.00009832777,0.000183937,0.0000774403],"domain_scores_gemma":[0.9988335,0.0001240889,0.00008758088,0.00005576155,0.0008138929,0.00008514728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006793044,0.000236595,0.8166283,0.0002662863,0.0003601638,0.0003016756,0.0006016688,0.07369724,0.01915821,0.0006186907,0.003205454,0.08424654],"study_design_scores_gemma":[0.00005494704,0.00006001533,0.9149082,0.00002642988,0.00009095265,0.00004486944,0.0005397914,0.07717022,0.004274932,0.00005909231,0.002732001,0.00003852375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936157,0.0001025448,0.000705111,0.00004835047,0.000003816914,0.00003571667,0.00424601,0.00009502626,0.001147623],"genre_scores_gemma":[0.9874249,0.0001369841,0.002673462,0.00002545356,0.000002697206,0.00002001674,0.008996003,0.00001891263,0.0007015957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0181461,"threshold_uncertainty_score":0.08551627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423069453544264,"score_gpt":0.2459295297590031,"score_spread":0.2316988352235604,"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."}}