{"id":"W3005759737","doi":"10.1007/978-3-030-35137-3_17","title":"Quaternary Heritage and Landscape in the Témiscouata–Madawaska Valley, Eastern Québec","year":2020,"lang":"en","type":"book-chapter","venue":"World geomorphological landscapes","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski; Université Laval; Center for Northern Studies","funders":"","keywords":"Geology; Glacial period; Quaternary; Deglaciation; Varve; Glacial lake; Ice sheet; Wisconsin glaciation; Stadial; Geomorphology; Physical geography; Ice stream; Paleontology; Cryosphere; Sea ice; Oceanography; Geography","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":[0.0001775595,0.0001212091,0.0001650192,0.00146031,0.00398129,0.002130879,0.0007360325,0.0002405075,0.009623194],"category_scores_gemma":[0.0004198488,0.0001529061,0.0001276171,0.003783726,0.00105748,0.0005342206,0.0006051331,0.0004204834,0.0003364477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02565464,"about_ca_system_score_gemma":0.01584489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931242,"about_ca_topic_score_gemma":0.9992439,"domain_scores_codex":[0.9998683,0.00001610171,0.000004848036,0.00002015904,0.00003118673,0.00005931812],"domain_scores_gemma":[0.9997672,0.00003129723,0.00002828748,0.000007921969,0.00008937059,0.00007587411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002354603,0.0001974489,0.4554586,0.0005963807,0.000146422,0.002613377,0.04817126,0.003607266,0.003017684,0.05432278,0.07487185,0.3567614],"study_design_scores_gemma":[0.000007280499,0.00001845589,0.8769385,0.000184397,0.00001749224,0.0002686002,0.01497897,0.0007357431,0.0001351707,0.0004856898,0.1062087,0.00002093454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8424407,0.0100738,0.0004253462,0.002632512,0.00006544916,0.00007445439,0.005484465,0.00005983011,0.1387433],"genre_scores_gemma":[0.9398557,0.002830904,0.0006047455,0.0001417066,0.00001007685,0.00002219264,0.001308649,0.0000247709,0.05520117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02565464,"threshold_uncertainty_score":0.1861383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026613689281052,"score_gpt":0.2234492919833442,"score_spread":0.1968356027022922,"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."}}