{"id":"W6919523876","doi":"10.60510/awfwi02129","title":"IGSN AWFWI02129 (EN22070): Site in Boreal Forests/Taiga, Fort Nelson - T8 Area East, 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; 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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009349101,0.001614484,0.002471769,0.001376224,0.0002074703,0.001871845,0.001748755,0.002088467,0.009465416],"category_scores_gemma":[0.0007535592,0.002647751,0.0009092946,0.001909559,0.0007364333,0.000483561,0.00102637,0.002087056,0.005016891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530166,"about_ca_system_score_gemma":0.00101071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952825,"about_ca_topic_score_gemma":0.9996833,"domain_scores_codex":[0.990163,0.0002957532,0.001733289,0.003296895,0.001620596,0.002890442],"domain_scores_gemma":[0.9948516,0.0003001462,0.0008528037,0.002794632,0.0002321578,0.0009686646],"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":[0.00005569949,0.000348293,0.02306696,0.001009683,0.0003828399,0.002576664,0.0006023675,0.00001725186,0.000001076555,0.00004197135,0.9682782,0.003619024],"study_design_scores_gemma":[0.001986695,0.0001662751,0.02513005,0.003451176,0.0004098698,0.0007419679,0.0002401676,0.0001677611,0.000004735551,0.001932437,0.9631078,0.002661077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005923316,0.005688104,0.0002099033,0.0000847133,0.001945354,0.002905955,0.9630547,0.002141189,0.01804676],"genre_scores_gemma":[0.02598551,0.0002002312,0.0009565732,0.0002952685,0.001736818,0.001250602,0.9106051,0.006297234,0.0526727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05244964,"threshold_uncertainty_score":0.9996603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201990056027731,"score_gpt":0.2440082233661993,"score_spread":0.2238092177634262,"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."}}