{"id":"W6919159299","doi":"10.60510/awfwi02574","title":"IGSN AWFWI02574 (EN22037-T08): Individual Sample (Biology, plant - Picea glauca) from Richardson 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":"Sample (material); Quality (philosophy); Yield (engineering); Sampling (signal processing)","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","research_integrity","insufficient_payload"],"category_scores_codex":[0.001276978,0.003031138,0.003062326,0.002351543,0.0003572328,0.0006833014,0.003450666,0.003235667,0.01326648],"category_scores_gemma":[0.001871799,0.003031531,0.0009784838,0.001548905,0.00105284,0.0003475202,0.001944475,0.002759643,0.01012624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353246,"about_ca_system_score_gemma":0.001111364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9555593,"about_ca_topic_score_gemma":0.8854089,"domain_scores_codex":[0.9883229,0.0008147109,0.001923927,0.004209527,0.001672686,0.003056232],"domain_scores_gemma":[0.9912497,0.002080485,0.001392727,0.003946024,0.0002251872,0.001105816],"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":[0.0001620044,0.0003503328,0.001338252,0.0004689771,0.002434541,0.0003222493,0.001711855,0.000005536712,0.00002542555,0.002167259,0.9902024,0.000811116],"study_design_scores_gemma":[0.001860178,0.0002535957,0.0006347377,0.001021473,0.001455007,0.0001332118,0.0006787861,0.00004318958,0.0001490204,0.007520233,0.9830661,0.003184499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0012638,0.01636774,0.001392126,0.000246329,0.004687583,0.002208645,0.9686922,0.003497867,0.001643665],"genre_scores_gemma":[0.002971928,0.0004638572,0.00604229,0.0009108736,0.004963618,0.0008648428,0.9751381,0.005579345,0.003065094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07015032,"threshold_uncertainty_score":0.999541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032226379830725,"score_gpt":0.2786219036890478,"score_spread":0.2463955238583228,"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."}}