{"id":"W2042885671","doi":"10.1016/s1040-6182(00)00031-8","title":"Pleistocene palynostratigraphy in the St. Lawrence Valley and middle Estuary","year":2000,"lang":"en","type":"article","venue":"Quaternary International","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Centre de Géomatique du Québec","funders":"National Science Council","keywords":"Geology; Tundra; Interglacial; Glacial period; Subarctic climate; Fluvial; Stadial; Taiga; Boreal; Pleistocene; Vegetation (pathology); Sedimentary depositional environment; Paleontology; Arctic; Oceanography; Physical geography; Ecology; Structural basin; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003030764,0.00008486134,0.00008247808,0.00007955587,0.00009215887,0.00003952018,0.0004002767,0.0000592459,0.007609811],"category_scores_gemma":[0.000013539,0.00005895514,0.00002728671,0.00009484298,0.000192773,0.0001461565,0.000007160142,0.0002078804,0.0003048313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":6.251792e-7,"about_ca_system_score_gemma":0.00001877852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867714,"about_ca_topic_score_gemma":0.009575558,"domain_scores_codex":[0.9990968,0.0001436118,0.0001535051,0.000194343,0.0002143077,0.000197392],"domain_scores_gemma":[0.9995872,0.0002237564,0.00002359989,0.0001093584,0.00001535328,0.00004074816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008379202,0.00002203894,0.9933744,0.000003707421,0.00001332436,0.0001255354,0.0003492364,0.0001079367,6.888863e-7,0.000210718,0.0002007723,0.005507847],"study_design_scores_gemma":[0.0002345628,0.00009748282,0.9896459,0.00001278181,0.000002277617,0.0002164332,0.0001054038,0.005439761,0.000002912551,0.002328326,0.001843986,0.00007020039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964194,0.0003775887,0.00000323605,0.003643059,0.0001377135,0.00008900003,0.00003025292,0.00001201629,0.03151312],"genre_scores_gemma":[0.9981887,0.0002980935,0.0001183978,0.0006567566,0.00005704066,0.000003660995,0.0001162831,0.000001156916,0.0005599115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03399469,"threshold_uncertainty_score":0.9932974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800483409261952,"score_gpt":0.2524634001915265,"score_spread":0.224458566098907,"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."}}