{"id":"W3201022888","doi":"10.3390/rs13183735","title":"The Role of Satellite InSAR for Landslide Forecasting: Limitations and Openings","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency","keywords":"Landslide; Interferometric synthetic aperture radar; Satellite; Geology; Remote sensing; Predictability; Synthetic aperture radar; Seismology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006903456,0.0009888846,0.0008371255,0.001308794,0.0003957008,0.003041756,0.001261098,0.001386088,0.0009681336],"category_scores_gemma":[0.009976847,0.0003345876,0.0004717323,0.001651118,0.001269045,0.004675281,0.0009545729,0.001268865,0.0006822519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004653139,"about_ca_system_score_gemma":0.0008673448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003117519,"about_ca_topic_score_gemma":0.002360821,"domain_scores_codex":[0.9978641,0.0008668215,0.0001579417,0.0003561546,0.0006836496,0.00007140299],"domain_scores_gemma":[0.9882416,0.007316692,0.0006186083,0.001364677,0.00226477,0.0001936544],"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":[0.0001951477,0.00009743786,0.05784641,0.001676303,0.0002533028,0.0002322344,0.000583044,0.04197611,0.005640796,0.02193967,0.006764442,0.8627951],"study_design_scores_gemma":[0.00005113721,0.001029546,0.07800782,0.004855589,0.0005577883,0.001249092,0.004142138,0.5805779,0.01915417,0.1005759,0.2093982,0.0004006101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2766179,0.3673331,0.2656711,0.03464026,0.001947087,0.0001873541,0.002411239,0.001339027,0.04985286],"genre_scores_gemma":[0.8311673,0.08138464,0.08007496,0.0009636721,0.002025106,0.00009047006,0.001093504,0.0001523964,0.003047772],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006903456,"threshold_uncertainty_score":0.03650939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227249247702782,"score_gpt":0.2215617963627561,"score_spread":0.1988368715924778,"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."}}