{"id":"W6900576171","doi":"10.60510/awfwi02132","title":"IGSN AWFWI02132 (EN22073): Site in Boreal Forests/Taiga, Northern Rocky Mountains, British Columbia, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Boreal; Period (music); Climate change; Arctic","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000682168,0.001498178,0.00119082,0.007741407,0.003023264,0.002065702,0.002044379,0.001014224,0.1995952],"category_scores_gemma":[0.002449575,0.0008382401,0.0004441889,0.01881437,0.0004402244,0.0007483802,0.001345186,0.0009890524,0.1347989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003744963,"about_ca_system_score_gemma":0.009137792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7800171,"about_ca_topic_score_gemma":0.8880942,"domain_scores_codex":[0.9992951,0.00002888418,0.00004557495,0.0001796937,0.0002121413,0.0002385198],"domain_scores_gemma":[0.9980373,0.0001379253,0.0001597571,0.0002742387,0.001060323,0.0003305157],"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":[0.0000572951,0.00001401866,0.002813895,0.0002226457,0.00001402722,0.00004239043,0.0001877826,0.00007535106,0.000259203,0.0004266366,0.9871566,0.008730063],"study_design_scores_gemma":[0.00005464959,0.000009076702,0.05345425,0.0002477852,0.0000391218,0.00008327999,0.0003625118,0.00009792485,0.0004007134,0.0005134018,0.94471,0.00002725958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001000522,0.0000778722,0.0001938271,0.00003495474,0.00003320636,0.00003766505,0.9833208,0.0003694623,0.01493149],"genre_scores_gemma":[0.002329721,0.0001214553,0.0007316541,0.00005787063,0.00001216953,0.000153433,0.9713939,0.0004748157,0.02472506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8004048,"threshold_uncertainty_score":0.6677123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107400886050708,"score_gpt":0.2358346251922693,"score_spread":0.2250945365871985,"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."}}