{"id":"W6900670516","doi":"10.60510/awfwi03671","title":"IGSN AWFWI03671 (EN22063-TG18): Individual Sample (Biology, leaf for DNA analyses) of sample EN22063-T18 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001351845,0.002047787,0.001718328,0.0080318,0.004388351,0.002430469,0.003700401,0.001931619,0.1869609],"category_scores_gemma":[0.002635638,0.00126393,0.0006125082,0.01350987,0.0007839884,0.0008526479,0.002093268,0.001581988,0.1638585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003826584,"about_ca_system_score_gemma":0.009069117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3660218,"about_ca_topic_score_gemma":0.6659601,"domain_scores_codex":[0.9987707,0.00005129378,0.00007972794,0.0004166063,0.0004026454,0.0002790009],"domain_scores_gemma":[0.9982159,0.0001541576,0.0001344568,0.0004496859,0.0006968399,0.0003489885],"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":[0.0003018391,0.00006301414,0.004621692,0.0008521135,0.00005510824,0.0002708113,0.0008670281,0.0002232359,0.01204798,0.002741386,0.9341406,0.04381507],"study_design_scores_gemma":[0.00005838303,0.00001664621,0.01758021,0.0002658052,0.000064914,0.0001984252,0.0002028879,0.0001069956,0.002698504,0.001027731,0.9777375,0.0000419303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004031312,0.0001853172,0.003366773,0.0001014533,0.00008798021,0.0001852137,0.9484578,0.002763311,0.04082103],"genre_scores_gemma":[0.004229187,0.0001942302,0.005616771,0.0001765564,0.00001854113,0.0004299586,0.9534431,0.003407741,0.03248391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8130391,"threshold_uncertainty_score":0.7277827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06250297471934996,"score_gpt":0.319228309522357,"score_spread":0.2567253348030071,"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."}}