{"id":"W6919533313","doi":"10.60510/awfwi03494","title":"IGSN AWFWI03494 (EN22046-TG11): Individual Sample (Biology, leaf for DNA analyses) of sample EN22046-T11 from Ogilvie 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); DNA; Sample preparation; Analytical Chemistry (journal)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001144024,0.00176591,0.001400019,0.006622416,0.002408489,0.001821656,0.002986623,0.00159267,0.1570588],"category_scores_gemma":[0.002573393,0.000978043,0.0006940756,0.01377878,0.0006258204,0.0009834559,0.002207312,0.0009042158,0.1642662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002548742,"about_ca_system_score_gemma":0.006046043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1350773,"about_ca_topic_score_gemma":0.2755271,"domain_scores_codex":[0.9987491,0.00005869472,0.0001081418,0.0004389934,0.0003083136,0.0003366582],"domain_scores_gemma":[0.9979361,0.0001419138,0.0001917769,0.0006409739,0.0008112872,0.0002779517],"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":[0.0004911072,0.00008898088,0.01153446,0.001630955,0.00009913763,0.0002536009,0.001156384,0.0004110187,0.01146702,0.00273187,0.9209659,0.04916952],"study_design_scores_gemma":[0.00004769978,0.00002230786,0.0296486,0.0001779891,0.00006583185,0.0001439354,0.0003081473,0.00009636374,0.002032225,0.0007297422,0.9666926,0.00003456143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003091793,0.00008376362,0.001764432,0.00004244763,0.00004779566,0.00009695542,0.9750522,0.001528597,0.01829199],"genre_scores_gemma":[0.002797123,0.0000673532,0.002544481,0.00005488157,0.000007255343,0.0001846797,0.9838697,0.001464813,0.009009654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8649226,"threshold_uncertainty_score":0.5254139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08956548452551635,"score_gpt":0.3544282788080995,"score_spread":0.2648627942825832,"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."}}