{"id":"W4388704952","doi":"10.1080/11956860.2023.2271728","title":"Lire le passé forestier dans un bourbier : histoire écologique et dynamique contemporaine d’une population marginale nordique d’érable rouge ( <i>Acer rubrum</i> )","year":2023,"lang":"fr","type":"article","venue":"Ecoscience","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université Laval; Center for Northern Studies; Ministère des Ressources naturelles et des Forêts (Québec); Université du Québec à Rimouski","funders":"","keywords":"Ecotone; Ecology; Macrofossil; Radiocarbon dating; Geography; Holocene; Dominance (genetics); Population; Forestry; Biology; Shrub; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003802003,0.0004194386,0.0005472448,0.0003239846,0.001708144,0.0001446415,0.00089804,0.0006716782,0.001691124],"category_scores_gemma":[0.0007895288,0.0004090369,0.0001589304,0.002051876,0.001788289,0.00104899,0.0001570928,0.00118602,0.001423917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003392098,"about_ca_system_score_gemma":0.000899614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01990538,"about_ca_topic_score_gemma":0.2574182,"domain_scores_codex":[0.9951666,0.001174495,0.0005768217,0.001058388,0.0004598636,0.001563834],"domain_scores_gemma":[0.9974699,0.001079945,0.0002580494,0.0006016507,0.0001524265,0.0004380479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006310132,0.00009959691,0.9745674,0.00009954771,0.00002110302,0.0005483062,0.0007014882,0.004548857,0.0001132378,0.009768208,0.007973741,0.001495386],"study_design_scores_gemma":[0.0005002264,0.0003331242,0.8896223,0.00007533481,0.00001846351,0.0003273346,0.0003750839,0.06529306,0.00008168654,0.01101849,0.03188915,0.0004657152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843533,0.001488525,0.0007842827,0.0665202,0.003322406,0.0007009275,0.0002687462,0.0002090901,0.04235257],"genre_scores_gemma":[0.9273802,0.0007662614,0.0008701579,0.001077574,0.000111064,0.00004415432,0.0006039561,0.00001762844,0.06912902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2375128,"threshold_uncertainty_score":0.9998361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025857228108507,"score_gpt":0.240248345715542,"score_spread":0.2199897734344569,"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."}}