{"id":"W3023946652","doi":"10.3390/rs12091455","title":"Evaluation of Satellite-Derived Surface Soil Moisture Products over Agricultural Regions of Canada","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Waterloo","funders":"Agriculture and Agri-Food Canada","keywords":"Environmental science; Water content; Satellite; Remote sensing; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458423,0.0001606361,0.0002482477,0.00001062716,0.00008671889,0.000008946579,0.00008653805,0.00007493067,0.00001069276],"category_scores_gemma":[0.0003525304,0.000127972,0.00005829425,0.0004369669,0.0001156172,0.00007555878,0.00007291073,0.0001416271,0.000003970104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002675669,"about_ca_system_score_gemma":0.0001878884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2173007,"about_ca_topic_score_gemma":0.3253257,"domain_scores_codex":[0.9979016,0.0001843379,0.0002979907,0.0003258817,0.001056847,0.0002334051],"domain_scores_gemma":[0.9992266,0.00004522087,0.0002326161,0.0002317645,0.0001599176,0.0001039181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001492403,0.00000804649,0.0002359613,0.00003238771,0.00003493431,0.000007756542,0.001573486,0.02743842,0.8915436,0.00000165417,0.001452514,0.07765638],"study_design_scores_gemma":[0.0007202236,0.00006010915,0.2573344,0.000174865,0.0003103536,0.00005191314,0.001437907,0.1294201,0.608062,0.0001713105,0.0017919,0.0004649972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803112,0.000289942,0.00009182587,0.002353823,0.0001741074,0.0002369031,0.000001262366,0.00002143471,0.01651946],"genre_scores_gemma":[0.9961333,0.00002540759,0.003454632,0.0001996667,0.00009445525,1.453603e-9,0.000007609905,0.00001474666,0.00007016776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2834816,"threshold_uncertainty_score":0.7879114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198585443776728,"score_gpt":0.2197759522077481,"score_spread":0.1977900977699808,"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."}}