{"id":"W2625905712","doi":"","title":"Potentiel des donnees AMSR-E et RADARSAT-2 pour le suivi des cycles de gel/dégel du sol dans des zones agricoles au Canada","year":2012,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Environmental science; Geography","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":[0.00170707,0.001544513,0.0006333822,0.00345651,0.0008546961,0.001686063,0.0008543444,0.001039584,0.001916551],"category_scores_gemma":[0.004262942,0.0005165509,0.0009349461,0.001325084,0.0004612638,0.00105446,0.0003968948,0.0009600542,0.0008457961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003474019,"about_ca_system_score_gemma":0.003431389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5410259,"about_ca_topic_score_gemma":0.560277,"domain_scores_codex":[0.9986529,0.0001799587,0.00004492112,0.0002988865,0.0006761035,0.0001472205],"domain_scores_gemma":[0.9976572,0.0009847038,0.0001701929,0.00009516759,0.0009532187,0.0001394783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002425316,0.0003862123,0.3666165,0.0005131132,0.0006104176,0.0006938586,0.001717714,0.1610354,0.189684,0.001229627,0.003449803,0.2716381],"study_design_scores_gemma":[0.0002144261,0.0002430628,0.6240203,0.0001058259,0.0001329552,0.0003572922,0.0007940324,0.3031294,0.05981884,0.0003002453,0.01064917,0.0002343892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319493,0.002290661,0.05281724,0.0002491453,0.00009230789,0.0001507104,0.004325417,0.001065801,0.007059409],"genre_scores_gemma":[0.959935,0.0009142164,0.03287249,0.00008387933,0.0000276302,0.0001144646,0.0024818,0.0001295929,0.003441039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4589741,"threshold_uncertainty_score":0.9233542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141280018078246,"score_gpt":0.1869346292753528,"score_spread":0.1755218290945703,"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."}}