{"id":"W3209128766","doi":"10.5281/zenodo.4770218","title":"Continuous Foliar Cover of Vegetation for North American Beringia","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beringia; Cover (algebra); Vegetation (pathology); Vegetation cover; Physical geography; Geography; Forestry; Environmental science; Ecology; Archaeology; Biology; Land use; Engineering; Pleistocene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002112243,0.0001376976,0.0003404862,0.00000596906,0.00008680574,0.00001574842,0.0001760324,0.0001030017,0.01420204],"category_scores_gemma":[0.0004352718,0.00005859356,0.0001155997,0.0001439065,0.00001455103,0.00002568986,0.00007550047,0.00009939241,0.0001897162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008606212,"about_ca_system_score_gemma":0.00001108508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007530113,"about_ca_topic_score_gemma":0.01032024,"domain_scores_codex":[0.9993427,0.00002717564,0.0001651184,0.0002129846,0.0000846972,0.0001672756],"domain_scores_gemma":[0.9989775,0.0005523573,0.0002612558,0.00004913528,0.0001288835,0.00003090595],"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":[0.000009244663,0.00002420948,0.0001634232,0.0001328267,0.00004846939,0.000005954986,0.000002879376,0.00000120382,0.0000165143,1.744694e-7,0.9975588,0.002036238],"study_design_scores_gemma":[0.00004167932,0.0001577966,0.07054037,0.0002078049,0.000028938,0.000002095104,0.00001369212,0.000001521543,0.00003071303,0.000002200251,0.928841,0.0001321688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00185387,0.000340115,1.321845e-8,0.0000402054,0.0000743813,0.0002131536,0.9974349,0.00001137597,0.00003198411],"genre_scores_gemma":[0.001089684,0.00004884622,0.000007632289,0.0001590946,0.000204932,0.0001351416,0.9982836,5.82882e-7,0.0000705276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07037695,"threshold_uncertainty_score":0.9866991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782765683932111,"score_gpt":0.2299276138926722,"score_spread":0.202099957053351,"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."}}