{"id":"W6956948039","doi":"10.60510/awfwi03474","title":"IGSN AWFWI03474 (EN22044-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22044-T03 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":[],"consensus_categories":[],"category_scores_codex":[0.001152408,0.001787356,0.001403643,0.006789385,0.002266982,0.00186891,0.003052785,0.001539716,0.1589279],"category_scores_gemma":[0.002671313,0.0009883119,0.0007056513,0.01406031,0.0006315453,0.0009779591,0.002142349,0.0008969667,0.1688392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002680568,"about_ca_system_score_gemma":0.006455096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1569962,"about_ca_topic_score_gemma":0.2984353,"domain_scores_codex":[0.9987296,0.00006231433,0.0001104399,0.0004320358,0.0003231252,0.0003423731],"domain_scores_gemma":[0.9978272,0.0001474577,0.0001999892,0.0006759074,0.0008730277,0.000276507],"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":[0.0004395297,0.00007923963,0.01018122,0.001526246,0.00009063796,0.0002078582,0.001065263,0.0003934146,0.009357998,0.002462114,0.9281988,0.04599777],"study_design_scores_gemma":[0.00004671431,0.00002099075,0.02824745,0.0001707193,0.00006115141,0.000126275,0.000296329,0.0001002657,0.001923795,0.0007331416,0.9682396,0.00003367903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002794669,0.00007916179,0.001616709,0.00004047208,0.0000450803,0.00009307091,0.9767182,0.001499607,0.01711309],"genre_scores_gemma":[0.002664942,0.00006437705,0.002581175,0.00005269949,0.000007208406,0.0001878242,0.9836966,0.001539011,0.009206202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8430038,"threshold_uncertainty_score":0.5316667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08853228563410202,"score_gpt":0.3549351894838431,"score_spread":0.266402903849741,"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."}}