{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234948,0.00043725,0.0003662937,0.00128929,0.001475536,0.0008322928,0.000631115,0.0003288149,0.00198785],"category_scores_gemma":[0.0002932512,0.0002502872,0.0001984544,0.002881754,0.0004206973,0.0002158992,0.0004838482,0.0002754653,0.0004973512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008345213,"about_ca_system_score_gemma":0.00742282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751593,"about_ca_topic_score_gemma":0.9948478,"domain_scores_codex":[0.9997517,0.00001191821,0.000008197152,0.0000679491,0.00006432071,0.00009586216],"domain_scores_gemma":[0.9995267,0.00002058101,0.00004902865,0.00001655981,0.000195119,0.0001919604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003023294,0.0000969001,0.9732633,0.0001156936,0.00007728298,0.0004065769,0.001548121,0.0005234589,0.002988445,0.00007675348,0.005283623,0.0153176],"study_design_scores_gemma":[0.00000717156,0.00001445252,0.9960455,0.00001209153,0.000009396679,0.00004468035,0.001235477,0.0002253485,0.0001692768,0.0000088876,0.002220857,0.000006781445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9783623,0.0003051752,0.000104207,0.00004136345,0.000007782791,0.00006248226,0.01938184,0.00003066995,0.001704182],"genre_scores_gemma":[0.9735833,0.0003250103,0.0009262456,0.00005700554,0.000007260972,0.00009242373,0.02053136,0.00001454312,0.004462846],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02484071,"threshold_uncertainty_score":0.06054908,"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."}}