{"id":"W4205795841","doi":"10.4095/329134","title":"Système de traitement automatisé du gouvernement canadien pour la détection des variations et l'analyse des déformations du sol à partir des données de radar à synthèse d'ouverture de RADARSAT-2 et de la mission de la Constellation RADARSAT :description et guide de l'utilisateur","year":2021,"lang":"en","type":"report","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Synthetic aperture radar; Remote sensing; Geology; Interferometric synthetic aperture radar; Deformation monitoring; Computer science; Deformation (meteorology)","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":[0.0009525742,0.0009451763,0.0007394729,0.001930329,0.0006773101,0.001227099,0.000731541,0.0007728279,0.008670086],"category_scores_gemma":[0.001532956,0.0003596235,0.0003944686,0.000821477,0.0003331199,0.0006802868,0.0004648919,0.0004749344,0.006137051],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009286883,"about_ca_system_score_gemma":0.002561521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04040818,"about_ca_topic_score_gemma":0.04894405,"domain_scores_codex":[0.9991764,0.00008080903,0.00003173769,0.0001820028,0.000472017,0.00005701758],"domain_scores_gemma":[0.999128,0.0001591356,0.00004895309,0.0001041421,0.0005276895,0.00003214303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003013652,0.0001485676,0.008385568,0.0002968926,0.0001047099,0.0001404865,0.0002813686,0.01456147,0.1145203,0.001780841,0.02565003,0.8338284],"study_design_scores_gemma":[0.0002595061,0.0004913343,0.05762567,0.0001610115,0.0001965638,0.0006006638,0.000233034,0.3171729,0.3417999,0.001557948,0.27965,0.0002514856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04276465,0.0008797321,0.8940736,0.0002202789,0.0001578557,0.001275244,0.004775989,0.04171943,0.01413308],"genre_scores_gemma":[0.125212,0.0007776383,0.8084995,0.0001727943,0.00005446208,0.001523591,0.01047952,0.001034373,0.05224609],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9990713,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984016835769767,"score_gpt":0.2726068934751842,"score_spread":0.2527667251174865,"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."}}