{"id":"W6956890608","doi":"10.60510/awfwi03689","title":"IGSN AWFWI03689 (EN22065-TG06): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T06 from Northern Rocky Mountains, British Columbia, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":[0.001257865,0.001405556,0.001153707,0.006811834,0.003408823,0.001835523,0.002826048,0.0012759,0.2232632],"category_scores_gemma":[0.002613542,0.0009257768,0.0004287188,0.01153972,0.0006356345,0.0005707121,0.001718203,0.0009732271,0.1861154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003969139,"about_ca_system_score_gemma":0.009683052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5694295,"about_ca_topic_score_gemma":0.7765843,"domain_scores_codex":[0.9988652,0.00005291582,0.00006223346,0.0003172982,0.0003813608,0.0003209441],"domain_scores_gemma":[0.9970508,0.0001630484,0.000171143,0.0006428641,0.001496871,0.0004752098],"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":[0.0002447559,0.00005846789,0.005838902,0.0003847174,0.00002166818,0.0001087207,0.0004426706,0.0001593292,0.005364899,0.001173553,0.9471453,0.03905692],"study_design_scores_gemma":[0.00005522538,0.00001926255,0.03988109,0.0001586674,0.00003369729,0.0001258852,0.0002971852,0.0001381782,0.002367832,0.0005444508,0.9563447,0.0000338166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004780713,0.00008892622,0.001757951,0.0001095395,0.00007433409,0.0002054535,0.944711,0.001670388,0.04660167],"genre_scores_gemma":[0.004218465,0.00009848557,0.003788081,0.0001181833,0.00002138401,0.0003229719,0.9530396,0.001582012,0.03681073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4305705,"threshold_uncertainty_score":0.8662124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356309372137273,"score_gpt":0.3004520044728807,"score_spread":0.266888910751508,"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."}}