{"id":"W6919146096","doi":"10.60510/awfwi02127","title":"IGSN AWFWI02127 (EN22068): 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008125249,0.001525572,0.002228893,0.001230465,0.0002181537,0.001801352,0.001811253,0.00195924,0.00642301],"category_scores_gemma":[0.0007406704,0.002520516,0.0007689916,0.00175576,0.0006163332,0.0003781699,0.0009963185,0.002083595,0.01018015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00217549,"about_ca_system_score_gemma":0.001104963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984072,"about_ca_topic_score_gemma":0.9999713,"domain_scores_codex":[0.9906598,0.0003568738,0.00164791,0.003097315,0.001582993,0.002655103],"domain_scores_gemma":[0.9950711,0.0003265949,0.0008101237,0.002701826,0.000270955,0.0008194044],"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":[0.00004079831,0.0003284493,0.05979945,0.0009325159,0.0003926069,0.0024413,0.0006964064,0.00003103042,9.898314e-7,0.00002410815,0.9328184,0.002493985],"study_design_scores_gemma":[0.001872696,0.0001444231,0.01946905,0.002316888,0.000331277,0.0005120903,0.0002741851,0.00009289038,0.000003824913,0.001477235,0.9708862,0.002619285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01104646,0.00821274,0.0001078695,0.00007003932,0.001449073,0.002557357,0.9649667,0.002103295,0.009486425],"genre_scores_gemma":[0.02819103,0.0002582625,0.000528834,0.0003047737,0.001727414,0.0009819967,0.9062312,0.006919224,0.05485732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05873559,"threshold_uncertainty_score":0.9997493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105570697172268,"score_gpt":0.2357699907352434,"score_spread":0.2252129210180165,"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."}}