{"id":"W6938149814","doi":"10.60510/awfwi03761","title":"IGSN AWFWI03761 (EN22071-TG07): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T07 from Fort Nelson River lowlands, 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001413432,0.002018467,0.001620485,0.009081094,0.004249402,0.002507638,0.003678855,0.001798157,0.2174266],"category_scores_gemma":[0.003368983,0.001244791,0.0005940039,0.01651434,0.0007197305,0.0008312921,0.002065997,0.001395356,0.1865561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004805931,"about_ca_system_score_gemma":0.01172219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5521358,"about_ca_topic_score_gemma":0.7920995,"domain_scores_codex":[0.9986579,0.0000591332,0.00008074114,0.0003912695,0.0004489263,0.0003619737],"domain_scores_gemma":[0.9974528,0.0001934658,0.0001802608,0.0005732897,0.001146269,0.0004538781],"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":[0.0001598271,0.00003436824,0.003060799,0.000478279,0.00003048728,0.0001058126,0.000414147,0.0001490021,0.002772188,0.001289784,0.968749,0.02275635],"study_design_scores_gemma":[0.00004666049,0.00001146827,0.01843664,0.0002329577,0.00004465962,0.0001051612,0.0001926438,0.0000856536,0.001324513,0.0007857943,0.9786988,0.00003499739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001865749,0.0001052657,0.001337238,0.00006831142,0.00006180234,0.0001051002,0.966432,0.001442719,0.02858179],"genre_scores_gemma":[0.002333423,0.0001188024,0.00282538,0.000110381,0.0000146805,0.0002614135,0.9686674,0.001839689,0.02382882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7825733,"threshold_uncertainty_score":0.9010035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05871572721329554,"score_gpt":0.3157990524568954,"score_spread":0.2570833252435999,"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."}}