{"id":"W6948647191","doi":"10.5065/d6w0942z","title":"IGBP High Latitude Transects. Version 1.0","year":2011,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Latitude; High latitude; Vegetation (pathology); Variation (astronomy); Seasonality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008373198,0.001934279,0.001220613,0.003521723,0.0007752211,0.001736755,0.002670385,0.001718336,0.02762229],"category_scores_gemma":[0.003170016,0.0007479781,0.001163005,0.007910771,0.0004050981,0.0007858123,0.001616498,0.001903478,0.03457504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224161,"about_ca_system_score_gemma":0.001874547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07095566,"about_ca_topic_score_gemma":0.1151791,"domain_scores_codex":[0.9992798,0.0001201002,0.00008910547,0.0002083717,0.0001579224,0.0001447242],"domain_scores_gemma":[0.9984235,0.0003209889,0.0002681464,0.0003761637,0.0004215253,0.0001896215],"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":[0.00007864048,0.00003630625,0.003083901,0.0006065358,0.00007590326,0.00004546373,0.0000569913,0.0006336664,0.0001625204,0.0003860914,0.9924144,0.00241958],"study_design_scores_gemma":[0.0005117265,0.00003145617,0.04207029,0.0004064265,0.00009622359,0.0001331793,0.0002565487,0.001038194,0.0005300849,0.001086337,0.9537741,0.00006562455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003706462,0.00004058973,0.00004855338,0.00002181954,0.00001007904,0.000006386949,0.9990538,0.0001451347,0.0003030029],"genre_scores_gemma":[0.0004832514,0.00002117505,0.0001628887,0.00001199543,0.00000334931,0.0000338198,0.9990106,0.00003313481,0.0002397896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07095566,"threshold_uncertainty_score":0.1410853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09750511421523884,"score_gpt":0.2280623862692205,"score_spread":0.1305572720539816,"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."}}