{"id":"W2018384736","doi":"10.1029/2009eo520002","title":"Planning for a Canadian Contribution to a Soil Moisture Mission: First Workshop on Canadian SMAP Applications and Cal‐Val; Montreal, Quebec, Canada, 6–7 October 2009","year":2009,"lang":"en","type":"article","venue":"Eos","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency; Environment and Climate Change Canada","funders":"National Physical Laboratory; Korea Research Institute of Standards and Science","keywords":"Environmental science; Meteorology; Environmental resource management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007699095,0.0001728387,0.0001508851,0.00007196523,0.0006893472,0.00005596615,0.0001159872,0.0001351058,0.00003539742],"category_scores_gemma":[0.00005978922,0.0001579857,0.0000313126,0.0002065635,0.00003095041,0.00004746895,0.00001096318,0.0001488671,0.00002130534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144915,"about_ca_system_score_gemma":0.0004080151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997113,"about_ca_topic_score_gemma":0.9999989,"domain_scores_codex":[0.9987828,0.00001570938,0.0001443814,0.0003515922,0.0001678481,0.0005376399],"domain_scores_gemma":[0.9986133,0.00005897601,0.00002789948,0.0002215882,0.0000201946,0.001058051],"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":[0.00004574623,0.00003051986,0.008295261,0.000007028418,0.00002048886,0.00009856895,0.001253007,0.009131965,0.0002507223,0.00009388782,0.8135124,0.1672604],"study_design_scores_gemma":[0.000185642,0.00002294651,0.4205323,0.00005065729,0.00001527477,0.000009094481,0.000121005,0.0004970931,0.000082091,0.00007418363,0.5782005,0.000209325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6436874,0.001758068,0.00207123,0.2297674,0.0007694018,0.006262059,0.0004232409,0.0001654701,0.1150957],"genre_scores_gemma":[0.9888424,0.000005540923,0.0001561249,0.00791497,0.0001622434,0.00001124778,0.00006441425,0.00001259411,0.002830493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.412237,"threshold_uncertainty_score":0.6442469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007346133907378645,"score_gpt":0.2195451838997812,"score_spread":0.2121990499924025,"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."}}