{"id":"W6919493253","doi":"10.60510/awfwi02576","title":"IGSN AWFWI02576 (EN22037-T10): 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":[0.001288866,0.003029296,0.003066644,0.0023454,0.0003596465,0.0006894644,0.00348361,0.003271988,0.01348573],"category_scores_gemma":[0.001925356,0.003030398,0.0009803172,0.001542124,0.001057328,0.0003475194,0.001968468,0.002759234,0.01021398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363177,"about_ca_system_score_gemma":0.001108003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9586717,"about_ca_topic_score_gemma":0.8637828,"domain_scores_codex":[0.9883211,0.0008160074,0.00192532,0.004210879,0.001672137,0.003054607],"domain_scores_gemma":[0.9911123,0.002187613,0.001414236,0.003956043,0.0002251321,0.001104661],"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":[0.0001632306,0.0003547669,0.001342722,0.0004615737,0.002428999,0.0002786445,0.001694112,0.000005509457,0.00002550959,0.001863683,0.9904918,0.0008894241],"study_design_scores_gemma":[0.001850815,0.0002554737,0.0007148561,0.0009958504,0.001443375,0.0001101824,0.0006727467,0.00004471175,0.000155544,0.007540989,0.9830331,0.003182395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00136361,0.01556759,0.001370198,0.0002844026,0.004613751,0.002188185,0.9696635,0.003495422,0.001453363],"genre_scores_gemma":[0.003303907,0.0004811569,0.006142996,0.0009305035,0.004993513,0.0008808653,0.974799,0.005572201,0.002895842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09488889,"threshold_uncertainty_score":0.9995415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275603442747516,"score_gpt":0.278693659203715,"score_spread":0.2459376247762398,"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."}}