{"id":"W6900769705","doi":"10.60510/awfwi02131","title":"IGSN AWFWI02131 (EN22072): Site in Boreal Forests/Taiga, Fort Nelson River lowlands, 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":"Hydrology (agriculture); Boreal; Permafrost; 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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007959457,0.001379272,0.002152202,0.001185393,0.0001775175,0.001377332,0.001475235,0.001944546,0.007830105],"category_scores_gemma":[0.0005416864,0.002208634,0.0007914386,0.001531885,0.0008120811,0.0004213664,0.0008900293,0.001820831,0.005984939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225596,"about_ca_system_score_gemma":0.0007643967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969671,"about_ca_topic_score_gemma":0.9995271,"domain_scores_codex":[0.9915341,0.000263461,0.001450852,0.002867418,0.00140019,0.002484033],"domain_scores_gemma":[0.9956909,0.0003063556,0.0006904167,0.002332505,0.0001941392,0.0007856191],"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":[0.0000499767,0.0002792628,0.05101482,0.0009116416,0.0003498259,0.003223927,0.0006949864,0.0000100331,4.369206e-7,0.00003063915,0.9411417,0.002292774],"study_design_scores_gemma":[0.002256515,0.0001586379,0.03701789,0.002573036,0.0003785831,0.0006301081,0.0001030354,0.000156985,0.000004470433,0.001866004,0.9525335,0.002321163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009889268,0.005586784,0.0001589646,0.0000497676,0.001822826,0.002446937,0.96681,0.001685089,0.01155031],"genre_scores_gemma":[0.03123316,0.0003034621,0.0009530238,0.0002610096,0.001727235,0.0007638385,0.9012046,0.005174631,0.05837908],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0656055,"threshold_uncertainty_score":0.9998958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269743169872801,"score_gpt":0.2401865356951206,"score_spread":0.2274891039963926,"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."}}