{"id":"W6925053182","doi":"10.1594/pangaea.959408","title":"Aggregated herbaceous layer projective vegetation cover at 32 sites in Northwestern Canada, in Summer 2022 (CA-Land_2022_NWCanada)","year":2023,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Digital literacy in education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Quadrat; Taiga; Biome; Boreal; Vegetation type; Herbaceous plant; Ordination","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002257971,0.0004009665,0.0004249503,0.000570406,0.0006908397,0.001951277,0.001765648,0.0002343215,0.00001376747],"category_scores_gemma":[0.0003469082,0.0004032944,0.00005428321,0.0009821345,0.0002960196,0.003933042,0.003489487,0.0006137431,0.00001314271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009260202,"about_ca_system_score_gemma":0.0006299697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850619,"about_ca_topic_score_gemma":0.998835,"domain_scores_codex":[0.9955531,0.0001744339,0.0005794115,0.001575071,0.001005135,0.001112833],"domain_scores_gemma":[0.9977722,0.0004078279,0.0002236992,0.001232451,0.00005997669,0.0003039021],"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":[0.00006352624,0.000127529,0.005607876,0.0002457161,0.00004919507,0.00003148633,0.0001063423,0.0004128779,0.000008595367,0.00006720178,0.9869681,0.006311578],"study_design_scores_gemma":[0.0006607728,0.00007433886,0.01134038,0.0001244385,0.00002378843,0.00001636403,0.00007231678,0.01096878,0.000006761137,0.0002664409,0.9760136,0.0004320221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01086995,0.001006926,0.0001824913,0.0004606218,0.002054315,0.001553741,0.9837804,0.00002336655,0.00006818143],"genre_scores_gemma":[0.003788392,0.0006082332,0.0004852097,0.0001444552,0.0002749003,0.0002720652,0.9913727,0.00004207831,0.003011974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01377309,"threshold_uncertainty_score":0.9998419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05443845084505355,"score_gpt":0.2872023784288726,"score_spread":0.232763927583819,"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."}}