{"id":"W4200566159","doi":"10.1080/02723646.2021.2008104","title":"Retrieving dry snow stratigraphy using a versatile low-cost frequency modulated continuous wave (FMCW) K-band radar","year":2021,"lang":"en","type":"article","venue":"Physical Geography","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Center for Northern Studies; Université de Sherbrooke","funders":"National Search and Rescue Secretariat","keywords":"Snowpack; Snow; Radar; Remote sensing; Geology; Environmental science; Meteorology; Computer science; Geography; Geomorphology; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002346109,0.0003317012,0.0002418576,0.000606939,0.0001259249,0.0004163574,0.0003419454,0.00037707,0.0008619229],"category_scores_gemma":[0.0004040029,0.0001125447,0.0001818821,0.0005171524,0.00009618382,0.0004928696,0.0002523486,0.0001836113,0.0004927017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013011,"about_ca_system_score_gemma":0.000223355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066484,"about_ca_topic_score_gemma":0.002222678,"domain_scores_codex":[0.9998754,0.00002226124,0.000005860351,0.0000375223,0.00004206728,0.00001689657],"domain_scores_gemma":[0.9998304,0.00003823926,0.00003095392,0.00003196405,0.00005458569,0.00001381839],"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":[0.0003311938,0.0002031835,0.03491448,0.0002873781,0.00008313741,0.0001971009,0.0001791905,0.01390502,0.7085316,0.0004020253,0.00153489,0.2394308],"study_design_scores_gemma":[0.0002326816,0.001246587,0.2616118,0.00007843517,0.0003083998,0.001293238,0.0005240132,0.4544583,0.2675771,0.001117077,0.01143304,0.0001194106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7876649,0.0003804199,0.2068893,0.00008285652,0.0000591634,0.00008482529,0.0007218199,0.0009510774,0.003165687],"genre_scores_gemma":[0.8969195,0.0002075165,0.1011306,0.00005838213,0.00003543613,0.0000456313,0.0006120558,0.00003672177,0.0009541658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066484,"threshold_uncertainty_score":0.002883375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113163902886702,"score_gpt":0.2203051539040639,"score_spread":0.1991735148751969,"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."}}