{"id":"W6919403078","doi":"10.60510/awfwi02554","title":"IGSN AWFWI02554 (EN22035-T03): 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":[0.001314705,0.003037092,0.003092275,0.00235882,0.0003595633,0.0006864145,0.003472299,0.003310287,0.01286316],"category_scores_gemma":[0.001915873,0.00303636,0.000976,0.001598779,0.001071811,0.0003428568,0.00195606,0.002808877,0.01028135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374168,"about_ca_system_score_gemma":0.001140647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9586242,"about_ca_topic_score_gemma":0.8632454,"domain_scores_codex":[0.9882798,0.0008188369,0.001934463,0.004216315,0.001680739,0.003069817],"domain_scores_gemma":[0.991155,0.002126776,0.001427431,0.003947586,0.0002293999,0.001113833],"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":[0.0001595306,0.0003451366,0.001577415,0.0004693611,0.002511702,0.0002732568,0.001627996,0.000005448528,0.00002455947,0.001910308,0.990285,0.0008102313],"study_design_scores_gemma":[0.001839787,0.0002546648,0.0007559781,0.0009672737,0.001518675,0.000111219,0.0006017882,0.000043868,0.0001398619,0.007762915,0.9828175,0.00318646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001291278,0.0153709,0.001413456,0.0002849415,0.004691465,0.002183074,0.9697052,0.003504602,0.001555107],"genre_scores_gemma":[0.003293456,0.0004580154,0.006091375,0.0009122308,0.005106862,0.0008018176,0.9747921,0.005583669,0.002960519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09537873,"threshold_uncertainty_score":0.9994917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236990995443664,"score_gpt":0.2788149948063326,"score_spread":0.246445084851896,"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."}}