{"id":"W7008170038","doi":"","title":"Assessment of l-band and c-band scatterometry for agricultural and Arctic remote sensing","year":2024,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Indigenous Knowledge Systems and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Agriculture; Vegetation (pathology); Arctic; Radar; Climate change; Satellite; Baseline (sea); Backscatter (email); Sea ice","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00168851,0.000542094,0.0002582469,0.00101134,0.0002205149,0.000812319,0.0002857244,0.0004116752,0.0005623531],"category_scores_gemma":[0.001506059,0.0001691769,0.0004262225,0.0009638664,0.0001646052,0.0005071952,0.0003824118,0.0002621506,0.0003381528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604771,"about_ca_system_score_gemma":0.0005144525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005990955,"about_ca_topic_score_gemma":0.01307074,"domain_scores_codex":[0.9991141,0.0003258006,0.00003198181,0.0001107882,0.0003303927,0.00008684029],"domain_scores_gemma":[0.9985873,0.0003784638,0.000195957,0.0001144224,0.0006489758,0.00007497103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005964148,0.000325951,0.3357885,0.0004487715,0.00022204,0.000176534,0.0003917115,0.04850228,0.2369102,0.0009745493,0.001560577,0.3741024],"study_design_scores_gemma":[0.00004921211,0.001480842,0.6117501,0.0001408711,0.0002971267,0.0004345043,0.00122675,0.3203117,0.0580688,0.0005763196,0.005562717,0.0001009173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436116,0.0007481953,0.05051757,0.0001452649,0.00004213336,0.00008740647,0.0004896965,0.0002285354,0.004129591],"genre_scores_gemma":[0.9294465,0.0005816685,0.06829839,0.00005870201,0.00002120985,0.00005505653,0.0006090101,0.00003234416,0.0008972231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.994009,"threshold_uncertainty_score":0.01191217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032408047469913,"score_gpt":0.2057108492287934,"score_spread":0.1953867687540943,"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."}}