{"id":"W1983337075","doi":"10.5589/m13-031","title":"Investigating ALOS PALSAR interferometric coherence in central Siberia at unfrozen and frozen conditions: implications for forest growing stock volume estimation","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decorrelation; Coherence (philosophical gambling strategy); Environmental science; Forestry; Geography; Physical geography; Geology; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004853406,0.000290434,0.000202722,0.0007863441,0.0003029494,0.0004233937,0.0001966068,0.0001891697,0.0005941327],"category_scores_gemma":[0.0004937273,0.000125745,0.0002041272,0.000718935,0.0003068097,0.0003929789,0.0002804908,0.0001583127,0.00007122396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741257,"about_ca_system_score_gemma":0.0002065394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152029,"about_ca_topic_score_gemma":0.01343507,"domain_scores_codex":[0.9999022,0.0000164517,0.00000642797,0.00002255633,0.00002966823,0.00002258185],"domain_scores_gemma":[0.99979,0.00006404424,0.00004834944,0.00002582851,0.00005526079,0.00001649341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001201106,0.0001652625,0.6299407,0.0001967166,0.0004015715,0.001007571,0.001168257,0.05795103,0.2320415,0.0005026227,0.000553659,0.07486997],"study_design_scores_gemma":[0.00001191577,0.00007034037,0.9471899,0.000009627028,0.00006685069,0.00009334764,0.0003655487,0.03925594,0.012402,0.000141187,0.0003763712,0.00001703925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987224,0.00005507237,0.0008197843,0.000012027,0.000002526122,0.000001794552,0.0001278567,0.00001484205,0.0002436957],"genre_scores_gemma":[0.9992888,0.00003167419,0.0004243954,0.000005101198,0.000002236993,0.000001843332,0.000178533,0.000004146287,0.00006328416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152029,"threshold_uncertainty_score":0.02290648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468067192862755,"score_gpt":0.2295468170357909,"score_spread":0.2148661451071633,"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."}}