{"id":"W3000640331","doi":"","title":"Northern hemisphere Holocence land-cover reconstructions from fossil pollen data","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa; Mount Royal University","funders":"","keywords":"Biome; Holocene; Northern Hemisphere; Land cover; Biosphere; Physical geography; Vegetation (pathology); Climate change; Ecosystem; Environmental science; Ecology; Land use; Climatology; Geology; Geography; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003829112,0.0002582939,0.0003088323,0.001132241,0.0004834888,0.001313088,0.0002753584,0.0003785258,0.01212863],"category_scores_gemma":[0.001009884,0.0002060831,0.0003938301,0.002101544,0.0001399717,0.000597133,0.0003322953,0.0002413391,0.002633496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007849875,"about_ca_system_score_gemma":0.0007409133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08823605,"about_ca_topic_score_gemma":0.1697531,"domain_scores_codex":[0.999922,0.00001374091,0.000004765154,0.00002677853,0.00001449644,0.00001818298],"domain_scores_gemma":[0.9997166,0.00006413096,0.00003704405,0.00005738173,0.00008118194,0.00004363586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001025519,0.0001218362,0.6637158,0.0004053382,0.0008133597,0.0009003153,0.0009726387,0.0548832,0.01844399,0.001911594,0.04071454,0.2160919],"study_design_scores_gemma":[0.00005754783,0.0000106725,0.9702548,0.00005651172,0.00005488671,0.00006519636,0.0002385603,0.01073494,0.001140042,0.0006677567,0.0166997,0.00001918941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331624,0.001303316,0.002189105,0.0004211099,0.0001048124,0.00001573516,0.04248757,0.0005254883,0.01979052],"genre_scores_gemma":[0.9596156,0.0007538316,0.002834468,0.00005891981,0.00006221107,0.00002332428,0.03017391,0.0002151406,0.006262723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08823605,"threshold_uncertainty_score":0.1754449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683554934115156,"score_gpt":0.2362507519468586,"score_spread":0.209415202605707,"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."}}