{"id":"W3006290845","doi":"","title":"The integration of in-situ snow cover measurements with multi-scale ground based and airborne passive microwave data in the Canadian tundra","year":2009,"lang":"en","type":"article","venue":"AGUSM","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tundra; Snow cover; Snow; Remote sensing; Environmental science; Scale (ratio); Microwave; Cover (algebra); Meteorology; Geography; Geology; Arctic; Computer science; Cartography; Engineering; Telecommunications; Oceanography","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":[0.0002605361,0.00006005045,0.0000711673,0.0000165437,0.0001862709,0.00004796236,0.0001832619,0.00002133556,0.00001353512],"category_scores_gemma":[0.00004943014,0.00003115738,0.000007160773,0.0001973268,0.00007322351,0.0001141287,0.000004699464,0.00007420417,0.000002478058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000107169,"about_ca_system_score_gemma":0.00008182705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3391019,"about_ca_topic_score_gemma":0.9958534,"domain_scores_codex":[0.9994615,0.00004387593,0.0001081789,0.0001185661,0.0001334725,0.0001344473],"domain_scores_gemma":[0.9995629,0.0001303765,0.00004019399,0.0002065031,0.00003169618,0.00002835163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003853674,0.00002654651,0.9226937,0.000002879037,0.00001102353,0.00000646699,0.001593512,0.0002827128,0.00008994067,0.00003170748,0.000939456,0.0742835],"study_design_scores_gemma":[0.0002876284,0.00006234581,0.9939039,0.00001895703,0.000006432069,8.796799e-7,0.001152048,0.003193986,0.00002417568,0.00004276191,0.001261484,0.00004543872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929999,0.0007162404,0.0002710942,0.004111153,0.00005946647,0.0002891754,0.00005338872,0.000002817051,0.001496736],"genre_scores_gemma":[0.9984696,0.00004160791,0.0006527248,0.0006941806,0.00001150004,0.000001041068,0.00009812889,8.735977e-7,0.00003038153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6567516,"threshold_uncertainty_score":0.6652991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06442205785601329,"score_gpt":0.2438857904010752,"score_spread":0.1794637325450619,"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."}}