{"id":"W6956470529","doi":"10.60510/awfwi03655","title":"IGSN AWFWI03655 (EN22063-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22063-T02 from Liard River, 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; Sample size determination","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":[0.001567365,0.002211422,0.001870912,0.008934201,0.004491793,0.002781621,0.003999045,0.00209979,0.2002065],"category_scores_gemma":[0.003253026,0.001315184,0.0006931974,0.01528087,0.0008038794,0.0009111848,0.00225851,0.00169794,0.174428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00419794,"about_ca_system_score_gemma":0.01024451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3915922,"about_ca_topic_score_gemma":0.6646365,"domain_scores_codex":[0.9985696,0.00006740916,0.00009804346,0.0004784565,0.0004611597,0.0003252442],"domain_scores_gemma":[0.9978606,0.0001900035,0.0001608242,0.0005526853,0.0008382006,0.0003977769],"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":[0.000280477,0.00005707971,0.003801132,0.0008335921,0.00005441684,0.0002207742,0.0007595612,0.0002193992,0.008578153,0.002516537,0.9467099,0.03596903],"study_design_scores_gemma":[0.00006038139,0.00001638381,0.01572822,0.0002744436,0.00006729295,0.0001682877,0.0001972408,0.0001072341,0.002286986,0.00106132,0.9799897,0.00004253242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002849595,0.0001597569,0.002751265,0.00009137273,0.00008218046,0.0001585037,0.9570633,0.002487167,0.03435692],"genre_scores_gemma":[0.003236197,0.0001597595,0.004673939,0.0001619043,0.00001714954,0.0003721101,0.9613981,0.002951484,0.02702947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6084077,"threshold_uncertainty_score":0.7786258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626106752226741,"score_gpt":0.3182225998140252,"score_spread":0.2556119245913511,"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."}}