{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004260064,0.0001733725,0.0001767195,0.001512962,0.0007253426,0.001473938,0.0003088253,0.0002772046,0.002787641],"category_scores_gemma":[0.0007280525,0.0002130854,0.0001834582,0.001041423,0.0008819835,0.0005536793,0.0004703655,0.0002550611,0.0004865951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981039,"about_ca_system_score_gemma":0.0006277843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2318872,"about_ca_topic_score_gemma":0.3939568,"domain_scores_codex":[0.9998548,0.00002764266,0.000004303733,0.00004891731,0.00002289167,0.00004141854],"domain_scores_gemma":[0.9995184,0.0001177415,0.0001444561,0.00002743827,0.0001168326,0.00007514514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001616547,0.00002829018,0.9572648,0.00003444841,0.00006948652,0.0004501563,0.01174961,0.0004569442,0.005818651,0.00100519,0.0002046311,0.02275618],"study_design_scores_gemma":[0.000002570551,0.00001975028,0.9938385,0.00001823368,0.000009762785,0.0002033852,0.002580841,0.0003746154,0.0001950508,0.00007898326,0.002670823,0.000007600901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998575,0.0003446557,0.0001569293,0.00002333419,0.000001555206,0.00000171972,0.00007142354,0.000006260466,0.0008192097],"genre_scores_gemma":[0.9979383,0.0001535782,0.0003043724,0.000005403345,0.000002808514,0.000003258501,0.00009803756,0.000004915168,0.001489193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2318872,"threshold_uncertainty_score":0.4610749,"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."}}