{"id":"W6956675470","doi":"10.60510/awfwi02105","title":"IGSN AWFWI02105 (EN22046): Site in Boreal Forests/Taiga, Ogilvie Mountains, Yukon, 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; Sulfur cycle; Hydrology (agriculture); Period (music)","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001133323,0.002287909,0.002285819,0.003195735,0.0001393395,0.0004479702,0.001874223,0.002032246,0.004271158],"category_scores_gemma":[0.0009933634,0.002371767,0.0007807606,0.002033322,0.000688935,0.0003762058,0.0010712,0.002213566,0.01894887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006324,"about_ca_system_score_gemma":0.0009547028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.894269,"about_ca_topic_score_gemma":0.9800841,"domain_scores_codex":[0.9906652,0.0004071401,0.001677578,0.003000557,0.001556997,0.00269254],"domain_scores_gemma":[0.9943092,0.0004675461,0.0008189678,0.003407445,0.000194657,0.0008021693],"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":[0.000107614,0.0002815426,0.003031425,0.00113262,0.0003762295,0.001162176,0.00107257,0.00004327097,0.000003228013,0.001514722,0.9903367,0.0009379625],"study_design_scores_gemma":[0.001557173,0.000141973,0.002715643,0.001613158,0.0003475676,0.0001581022,0.0002267555,0.000139833,0.00004346879,0.00302387,0.987608,0.002424456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006860821,0.0103761,0.0002277767,0.0002511877,0.001842692,0.002212481,0.9589614,0.002224007,0.02321831],"genre_scores_gemma":[0.01320326,0.0003871805,0.001309552,0.0004606737,0.002068199,0.0008909543,0.9532503,0.006833857,0.02159601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08581506,"threshold_uncertainty_score":0.9992633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873799405442567,"score_gpt":0.273846675522937,"score_spread":0.2551086814685113,"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."}}