{"id":"W2150352749","doi":"10.1016/j.quascirev.2005.03.005","title":"Modern pollen data from North America and Greenland for multi-scale paleoenvironmental applications","year":2005,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":297,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pollen; Taxon; Vegetation (pathology); Georeference; Physical geography; Range (aeronautics); Scale (ratio); Geology; Geography; Ecology; Paleontology; Cartography; Biology","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":[0.001957495,0.0005499169,0.000560501,0.003075539,0.0006304141,0.001048716,0.0006557367,0.000418742,0.001710316],"category_scores_gemma":[0.00311437,0.0003114788,0.000357342,0.007096519,0.0003988441,0.001401121,0.0007925402,0.0004926118,0.0003242302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009536535,"about_ca_system_score_gemma":0.001544326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05543752,"about_ca_topic_score_gemma":0.218838,"domain_scores_codex":[0.9996461,0.00007325683,0.00004140685,0.00008215063,0.000122402,0.00003482995],"domain_scores_gemma":[0.9982051,0.0005117063,0.0002891185,0.0002685045,0.0006005513,0.0001249639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002641037,0.00009842966,0.558027,0.0008989284,0.0008104935,0.0004533753,0.001444548,0.004000113,0.02911943,0.002405311,0.01465773,0.3878206],"study_design_scores_gemma":[0.00001639115,0.00003241019,0.9524006,0.0001994133,0.0002395499,0.0001922944,0.0005111736,0.001050954,0.001105878,0.001373122,0.04285875,0.00001947348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8814874,0.05236392,0.01587479,0.002126736,0.0004262393,0.00009902674,0.03365399,0.0003051521,0.0136628],"genre_scores_gemma":[0.9184849,0.02037435,0.03478113,0.000463399,0.0002790875,0.00014609,0.02219959,0.0001915742,0.003079941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9445625,"threshold_uncertainty_score":0.1102297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041133960860291,"score_gpt":0.3300675250047616,"score_spread":0.2259541289187325,"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."}}