{"id":"W6900708600","doi":"10.60510/awfwi03237","title":"IGSN AWFWI03237 (EN22020-TG08): Individual Sample (Biology, leaf for DNA analyses) of sample EN22020-T08 from Richardson Mountains, Northwest Territories, 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)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001402113,0.001773049,0.001472624,0.007093466,0.00240518,0.00181881,0.003188011,0.001559975,0.1878211],"category_scores_gemma":[0.003028344,0.001092711,0.0006377007,0.01532497,0.0005697001,0.0008725841,0.001702316,0.001206489,0.1780884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907207,"about_ca_system_score_gemma":0.005478228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.163355,"about_ca_topic_score_gemma":0.300709,"domain_scores_codex":[0.9988798,0.00007702492,0.00008942089,0.0003747533,0.000308958,0.0002699626],"domain_scores_gemma":[0.9980502,0.0002307137,0.0002097269,0.0005512452,0.0006307461,0.0003273619],"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":[0.0001931513,0.00005078598,0.003613317,0.0005673282,0.00004154798,0.00008777082,0.0004012645,0.0001715936,0.002822285,0.001323094,0.9711186,0.01960939],"study_design_scores_gemma":[0.00007867792,0.000016519,0.01995523,0.0002202988,0.00005086857,0.0001012285,0.000178288,0.00009190848,0.001154839,0.0007682636,0.9773556,0.00002829845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001299463,0.00005858973,0.000933919,0.00003580893,0.00004124288,0.00006460305,0.9817739,0.0008651948,0.01492722],"genre_scores_gemma":[0.001425494,0.00006767482,0.002123971,0.00006635606,0.00001324138,0.0002255305,0.9871754,0.001076868,0.007825388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836645,"threshold_uncertainty_score":0.6283243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06066246950511686,"score_gpt":0.3327405878660573,"score_spread":0.2720781183609404,"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."}}