{"id":"W4405214975","doi":"10.1002/jqs.3682","title":"Multi‐proxy analysis of early Holocene vegetation dynamics on the islands of proglacial Lake Ojibway (northeastern America)","year":2024,"lang":"en","type":"article","venue":"Journal of Quaternary Science","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Mitacs","keywords":"Tundra; Boreal; Geology; Vegetation (pathology); Holocene; Deglaciation; Taiga; Physical geography; Ecology; Oceanography; Arctic; Geography; Paleontology; Forestry","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":[0.001647775,0.0000919563,0.0002814425,0.0006905082,0.0001170984,0.00004494786,0.0006237149,0.00005078272,0.0001536166],"category_scores_gemma":[0.0001172223,0.00005207258,0.0001505294,0.001678409,0.001025389,0.0003180652,0.00001868662,0.0002919009,0.00003064151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000286935,"about_ca_system_score_gemma":0.0002168873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109731,"about_ca_topic_score_gemma":0.001060836,"domain_scores_codex":[0.9983375,0.0001658478,0.0004348478,0.0001738473,0.0006492593,0.0002387037],"domain_scores_gemma":[0.9988699,0.000361867,0.0003110079,0.0001634796,0.0002146429,0.00007909684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001127807,0.00003079841,0.9902818,0.0000217496,0.0001379945,0.00005629164,0.0009328196,0.005035596,0.00008215518,0.00004486939,0.000002142111,0.003261039],"study_design_scores_gemma":[0.00007394942,0.000523244,0.6810647,0.00003922956,0.00007535495,0.0000326327,0.0001080531,0.3178371,0.0001143539,0.00008481181,0.000008048423,0.0000385875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975432,0.0002755998,0.0005287452,0.0006827941,0.000328762,0.00007753779,0.00002429672,0.000004747632,0.0005343494],"genre_scores_gemma":[0.9994491,0.00005163199,0.000327875,0.00003957977,0.00003190786,3.290015e-7,0.00000616233,0.000001586144,0.00009183331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3128015,"threshold_uncertainty_score":0.3778088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345463163968646,"score_gpt":0.2856168657208666,"score_spread":0.2621622340811801,"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."}}