{"id":"W4394466124","doi":"10.6084/m9.figshare.24306535.v1","title":"DATA FROM: 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":"dataset","venue":"Figshare","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003326068,0.0002859023,0.0002799733,0.002397963,0.0005249215,0.0006602329,0.0005488239,0.0003211202,0.03602904],"category_scores_gemma":[0.001408842,0.0002166857,0.0002647788,0.003545816,0.0001927868,0.0004094164,0.0004873646,0.0003287485,0.01081972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471515,"about_ca_system_score_gemma":0.00148406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3893449,"about_ca_topic_score_gemma":0.5924093,"domain_scores_codex":[0.9997117,0.00003113893,0.00003053036,0.00006853005,0.0001127279,0.00004536607],"domain_scores_gemma":[0.9985664,0.0002771561,0.0002302192,0.0001197325,0.0006938239,0.000112618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004751349,0.00009289441,0.3594974,0.001746628,0.000142184,0.0003473903,0.004387218,0.001505837,0.002409019,0.001513385,0.5629106,0.06497237],"study_design_scores_gemma":[0.00003082223,0.00003589525,0.6764452,0.000226952,0.00002361082,0.0001071226,0.001905664,0.0001752784,0.0005280833,0.0001198527,0.3203751,0.00002645281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08527236,0.0005879849,0.0006821352,0.0002444951,0.00006939942,0.00008770132,0.8841887,0.0002623504,0.02860492],"genre_scores_gemma":[0.1396403,0.0006798869,0.002305254,0.0001084006,0.00003600122,0.0002991497,0.8022101,0.0001881627,0.0545327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3893449,"threshold_uncertainty_score":0.7741573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0562103438565279,"score_gpt":0.2439009441376857,"score_spread":0.1876906002811578,"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."}}