{"id":"W6962400011","doi":"10.1594/pangaea.959412","title":"Raw 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":"Historical, Literary, and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Quadrat; Taiga; Biome; Boreal; Herbaceous plant; Moss; Vegetation type","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":[0.0001956025,0.0004881653,0.0003519548,0.00176952,0.001752554,0.000862637,0.0006035287,0.0002775632,0.003148786],"category_scores_gemma":[0.0003260274,0.0002534957,0.000193965,0.004010251,0.0004691562,0.0002073945,0.0005494928,0.0002424514,0.0006963554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007876956,"about_ca_system_score_gemma":0.008535977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9761244,"about_ca_topic_score_gemma":0.9958199,"domain_scores_codex":[0.9997564,0.00001027491,0.000008061674,0.00006273126,0.00007229371,0.0000901615],"domain_scores_gemma":[0.9994543,0.00002221559,0.00005484365,0.00001895914,0.0002620555,0.0001876942],"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":[0.0003931122,0.00008917302,0.9489415,0.0001968115,0.00009722698,0.0005416357,0.002740405,0.0004718814,0.004850986,0.0001376788,0.009887139,0.03165241],"study_design_scores_gemma":[0.000005247482,0.0000116684,0.9938054,0.00001536574,0.00000883657,0.00004972105,0.001548341,0.000121279,0.0002176237,0.00001069678,0.004199179,0.000006634602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9586878,0.0004931836,0.0001534015,0.00004590044,0.00001214789,0.00008259015,0.0367142,0.0000410009,0.003769754],"genre_scores_gemma":[0.9541819,0.0005299122,0.001221452,0.00006466675,0.000008841009,0.0001345822,0.03477029,0.00002488111,0.009063452],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02387559,"threshold_uncertainty_score":0.05715162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0810855521286833,"score_gpt":0.2686284136510332,"score_spread":0.1875428615223499,"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."}}