{"id":"W2612115609","doi":"10.1038/sdata.2017.65","title":"Modern pollen data from the Canadian Arctic, 1972–1973","year":2017,"lang":"en","type":"article","venue":"Scientific Data","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Colorado Boulder; National Science Foundation","keywords":"Pollen; Arctic; Taiga; Tundra; Physical geography; Transect; Environmental science; Vegetation (pathology); Moss; Sampling (signal processing); Boreal; Geography; Ecology; Geology; Oceanography; Forestry; Biology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002784423,0.0001111614,0.0001352728,0.00006634122,0.005434528,0.00148179,0.01403407,0.000108482,0.006818136],"category_scores_gemma":[0.001270689,0.00007364309,0.00001693872,0.0001004855,0.001829561,0.0009761489,0.001086114,0.0003474659,0.006648629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001957309,"about_ca_system_score_gemma":0.0007829526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6353409,"about_ca_topic_score_gemma":0.996546,"domain_scores_codex":[0.9976959,0.0001647902,0.0001491173,0.0009917496,0.0003696506,0.0006287928],"domain_scores_gemma":[0.9886819,0.0003055069,0.00008151754,0.01057207,0.00005988603,0.0002990849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006528979,0.000003761833,0.8743035,0.000001995673,0.00001989208,0.00003056071,0.00006987971,0.000004702641,7.568389e-7,0.00003271408,0.1214064,0.004119281],"study_design_scores_gemma":[0.0001177133,0.000005031165,0.8097441,0.000007879356,0.00001658896,0.00001356303,0.00004716007,0.02856452,0.000001714018,0.003766613,0.157618,0.00009719965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4798878,0.005813587,0.0000705036,0.09259708,0.01525899,0.001042802,0.2539764,0.000102458,0.1512505],"genre_scores_gemma":[0.9517053,0.00002245526,0.0002933737,0.0003023077,0.0001496527,4.243181e-7,0.04405524,0.000002287936,0.003468922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4718176,"threshold_uncertainty_score":0.9995548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1791802358481201,"score_gpt":0.3210715420865105,"score_spread":0.1418913062383904,"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."}}