{"id":"W6912655301","doi":"10.5281/zenodo.4429635","title":"ALOS2 and UAVSAR InSAR data and land cover data over Permafrost Areas Near Yellowknife Canada","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interferometric synthetic aperture radar; Permafrost; Satellite; Raw data; Synthetic aperture radar; Land cover; Ground subsidence; Coherence (philosophical gambling strategy)","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":[0.000191079,0.0004920768,0.0002742232,0.002477985,0.001211523,0.000734203,0.000678175,0.000240697,0.01102127],"category_scores_gemma":[0.0007860092,0.0002619879,0.0003289908,0.004800839,0.0003586451,0.0003738715,0.0006547899,0.0004534179,0.002827899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005532118,"about_ca_system_score_gemma":0.01339034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9668092,"about_ca_topic_score_gemma":0.9831224,"domain_scores_codex":[0.9995732,0.0000113164,0.00001189948,0.00006031471,0.0002423783,0.0001009228],"domain_scores_gemma":[0.9985403,0.0000379919,0.00006630961,0.0001356457,0.001052771,0.00016706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009766937,0.000210607,0.2160304,0.0005138655,0.000354681,0.001052867,0.001614978,0.03218213,0.01801761,0.002750001,0.602041,0.1242552],"study_design_scores_gemma":[0.0001671823,0.00003128784,0.6238986,0.0001411878,0.00006829969,0.0001898455,0.002002659,0.01447113,0.007911732,0.0005281006,0.3504751,0.0001147686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1739958,0.0001432085,0.002425061,0.0002361595,0.00007907616,0.0001672296,0.7914958,0.00154189,0.02991575],"genre_scores_gemma":[0.1942143,0.0002169294,0.006262916,0.00008913749,0.00001834619,0.0001258133,0.7785693,0.0006209444,0.01988235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03319079,"threshold_uncertainty_score":0.06677246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673378330748956,"score_gpt":0.2264234732327374,"score_spread":0.1996896899252478,"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."}}