{"id":"W6975778316","doi":"10.60510/awfwi03368","title":"IGSN AWFWI03368 (EN22033-TG14): Individual Sample (Biology, leaf for DNA analyses) of sample EN22033-T14 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); DNA; Analytical Chemistry (journal); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009506317,0.00155026,0.001326618,0.005931407,0.002628454,0.001504401,0.002713117,0.001495581,0.1135451],"category_scores_gemma":[0.002050714,0.0009185716,0.0006079658,0.01330822,0.0006059873,0.0007722158,0.001777472,0.000920821,0.1138816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002537671,"about_ca_system_score_gemma":0.006017079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1717086,"about_ca_topic_score_gemma":0.3651567,"domain_scores_codex":[0.9989728,0.00004480747,0.00009049528,0.0003998919,0.0002301074,0.0002619739],"domain_scores_gemma":[0.9983795,0.0001120269,0.0001531906,0.0004913862,0.0006312533,0.0002326747],"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":[0.0006965899,0.0001208654,0.01977225,0.001715916,0.0001591136,0.0003883702,0.001760262,0.0004713651,0.02428575,0.00378835,0.8821176,0.06472348],"study_design_scores_gemma":[0.00007233402,0.00003238805,0.05348749,0.0002081503,0.0001101703,0.0002202461,0.0004168059,0.0001301726,0.002642306,0.0008832865,0.9417506,0.00004594402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005978569,0.00009712665,0.00227261,0.00005012982,0.00005158648,0.0001378349,0.969196,0.001510192,0.02070592],"genre_scores_gemma":[0.004876846,0.00008020792,0.003116545,0.00007533687,0.000008143787,0.0002454584,0.9805824,0.00131698,0.009698104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8282914,"threshold_uncertainty_score":0.3798464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07940002007163927,"score_gpt":0.3522931318344601,"score_spread":0.2728931117628209,"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."}}