{"id":"W6975781671","doi":"10.60510/awfwi03720","title":"IGSN AWFWI03720 (EN22068-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22068-T02 from Northern Rocky Mountains, British Columbia, 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","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":[0.001278686,0.00204679,0.001570714,0.009025482,0.00393943,0.00229328,0.003504899,0.001539122,0.2009776],"category_scores_gemma":[0.002998995,0.001152467,0.000571682,0.01782062,0.0006365305,0.0007117288,0.001719439,0.001304745,0.1578404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004392274,"about_ca_system_score_gemma":0.01062832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5761269,"about_ca_topic_score_gemma":0.7842663,"domain_scores_codex":[0.9988419,0.00005366541,0.00006876858,0.0003476042,0.0003605412,0.0003273971],"domain_scores_gemma":[0.9976473,0.000193109,0.0001846399,0.0005604136,0.0009848726,0.0004295259],"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":[0.0001894181,0.00003780746,0.003342835,0.0005152166,0.0000343025,0.0001034147,0.0004139284,0.0001632093,0.002539672,0.001054117,0.9696404,0.02196561],"study_design_scores_gemma":[0.0000701734,0.00001384607,0.02540251,0.0002335629,0.00005693327,0.00010665,0.0002029834,0.000113568,0.001406933,0.0007107649,0.9716447,0.00003746609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001862601,0.0000859751,0.0009279866,0.00005113369,0.00004600143,0.00008528855,0.9733333,0.001339534,0.02226813],"genre_scores_gemma":[0.002410501,0.00009638051,0.002279672,0.00008219621,0.00001377609,0.0002368584,0.9756836,0.001511605,0.01768536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4238731,"threshold_uncertainty_score":0.8527388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926686967903637,"score_gpt":0.3090712895744317,"score_spread":0.2598044198953953,"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."}}