{"id":"W3049115703","doi":"","title":"Overview and first results from the Canadian Experiment for Soil Moisture 2010 (CanEx-SM10)","year":2010,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Water content; Moisture; Hydrology (agriculture); Geography; Geology; Meteorology; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0005034021,0.0002022087,0.0001560639,0.0000165334,0.0007374032,0.0001402472,0.0002442605,0.0001991243,0.000007095123],"category_scores_gemma":[0.000445714,0.0001418384,0.00005951887,0.00006860337,0.0001860526,0.00008459899,0.00008439566,0.0003783102,0.00007121415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009361603,"about_ca_system_score_gemma":0.00004462797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9592635,"about_ca_topic_score_gemma":0.9983846,"domain_scores_codex":[0.9985769,0.00002430796,0.0002826127,0.0004406622,0.000246093,0.0004294553],"domain_scores_gemma":[0.9986708,0.0004775597,0.0001406893,0.0004119306,0.0000155252,0.0002835582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003515818,0.0003287142,0.3735673,0.0001019599,0.0002669422,0.0002839071,0.03476425,0.007808139,0.08496229,0.0001478036,0.3211413,0.1762758],"study_design_scores_gemma":[0.0004896378,0.00002403927,0.8462802,0.0000760218,0.00002840039,0.00001411306,0.0002417677,0.0002576149,0.00255512,0.00023701,0.1495446,0.000251557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464889,0.0003658927,5.526402e-7,0.006632921,0.0008195728,0.0002923753,0.00002738798,0.00003376266,0.04533869],"genre_scores_gemma":[0.9961277,0.00005698182,0.001658237,0.001334698,0.0003942084,0.000004126722,0.00003601418,0.00002422662,0.0003637864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4727129,"threshold_uncertainty_score":0.5784002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885836601551935,"score_gpt":0.2331080004103734,"score_spread":0.2142496343948541,"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."}}