{"id":"W6938265040","doi":"10.60510/awfwi03604","title":"IGSN AWFWI03604 (EN22058-TG13): Individual Sample (Biology, leaf for DNA analyses) of sample EN22058-T13 from Yukon River Lowlands, 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","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":[0.001085944,0.001775836,0.001344638,0.005838117,0.002485636,0.001616195,0.002621137,0.001634882,0.1361965],"category_scores_gemma":[0.002219401,0.00101017,0.0006717306,0.01280642,0.0006021908,0.000824734,0.001960444,0.0008440897,0.1308931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868198,"about_ca_system_score_gemma":0.00659649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1649004,"about_ca_topic_score_gemma":0.3476277,"domain_scores_codex":[0.9988323,0.0000565636,0.0001038085,0.0004201338,0.0002774933,0.0003096931],"domain_scores_gemma":[0.9984441,0.0001047124,0.0001469553,0.0004724574,0.0006324684,0.000199198],"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":[0.0005038598,0.00008429534,0.0149627,0.001656057,0.0001167933,0.0003657665,0.001270685,0.0004419029,0.01533799,0.003235196,0.9054048,0.05661996],"study_design_scores_gemma":[0.00005265888,0.00002377477,0.03804031,0.0001913703,0.00008603629,0.0001916114,0.0003282336,0.0001175507,0.002489177,0.0008304017,0.9576073,0.00004160031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00384813,0.00009805743,0.002248001,0.00004702209,0.00004908254,0.0001266792,0.9714518,0.001512729,0.02061846],"genre_scores_gemma":[0.003849498,0.00008047277,0.003006241,0.0000651863,0.000006866328,0.0002536966,0.9816769,0.001247283,0.009813778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1649004,"threshold_uncertainty_score":0.4556228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07868333218718844,"score_gpt":0.3399589237828339,"score_spread":0.2612755915956455,"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."}}