{"id":"W4200307405","doi":"10.3390/jmse9121418","title":"Long-Term Evolution and Monitoring at High Temporal Resolution of a Rapidly Retreating Cliff in a Cold Temperate Climate Affected by Cryogenic Processes, North Shore of the St. Lawrence Gulf, Quebec (Canada)","year":2021,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cliff; Geology; Erosion; Physical geography; Storm; Mudflow; Shore; Oceanography; Subaerial; Hydrology (agriculture); Flash flood; Frost weathering; Debris; Geomorphology; Archaeology; Geography; Flood myth; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004529092,0.00009103047,0.0001723862,0.00005183854,0.0001052201,0.00002520683,0.0001432038,0.00003614637,0.000008248569],"category_scores_gemma":[0.0001657733,0.00006302381,0.00002035951,0.0008015098,0.0001352436,0.0002968873,0.0003242409,0.0001591476,4.205504e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615628,"about_ca_system_score_gemma":0.000213789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01419535,"about_ca_topic_score_gemma":0.09523617,"domain_scores_codex":[0.9988116,0.00001965334,0.0003240133,0.0001469706,0.0004919373,0.0002058067],"domain_scores_gemma":[0.9995078,0.00003328524,0.0002085119,0.00009237276,0.00008412707,0.00007385624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001675164,0.00001709438,0.8354967,0.00008866868,0.000006150415,0.0000108032,0.00009334677,0.007668149,0.1559443,0.000002525775,0.000008119485,0.0006474308],"study_design_scores_gemma":[0.0003027468,0.00005540108,0.9759222,0.0003171891,0.00001508796,0.00004386008,0.00005641454,0.002918727,0.02028137,0.000002170291,0.000009213441,0.00007567794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993236,0.000397564,0.00003374336,0.00005166974,0.0001123576,0.00005886346,0.000004637306,0.000002877391,0.00001469998],"genre_scores_gemma":[0.9991782,0.0004606318,0.0002984663,0.000002854043,0.00001892793,9.818294e-7,0.000001098585,0.000004851991,0.00003396006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1404255,"threshold_uncertainty_score":0.9923692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003415376981830346,"score_gpt":0.1792394351220208,"score_spread":0.1758240581401905,"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."}}