{"id":"W6900427033","doi":"10.60510/awfwi03692","title":"IGSN AWFWI03692 (EN22065-TG09): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T09 from Northern Rocky Mountains, 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":[0.001265372,0.001966541,0.001539898,0.008184124,0.004107481,0.002265226,0.003448245,0.001574172,0.1989105],"category_scores_gemma":[0.002862902,0.001143732,0.0005680867,0.01631753,0.0006611323,0.0006928454,0.001743277,0.001303373,0.1539406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004263094,"about_ca_system_score_gemma":0.01031217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.564132,"about_ca_topic_score_gemma":0.7852443,"domain_scores_codex":[0.9988298,0.00005237374,0.00007057935,0.0003538083,0.0003663362,0.0003271053],"domain_scores_gemma":[0.9978033,0.0001818122,0.0001727308,0.0005113521,0.0009126858,0.0004181692],"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":[0.0001852018,0.00003888788,0.003420933,0.0005036804,0.00003353762,0.0001178214,0.0004242216,0.0001540274,0.002734966,0.001108224,0.970373,0.02090551],"study_design_scores_gemma":[0.00007066163,0.00001378862,0.0271207,0.0002544844,0.00005681993,0.0001209481,0.0002158453,0.0001056388,0.001411118,0.0007332881,0.9698583,0.00003843397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00199683,0.00009214354,0.001033276,0.0000576844,0.00005430862,0.00009458035,0.9715237,0.001315003,0.02383241],"genre_scores_gemma":[0.002658502,0.0001043713,0.00230563,0.00009700406,0.00001475909,0.000248954,0.974431,0.001522076,0.01861762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8010895,"threshold_uncertainty_score":0.8768697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805529854699737,"score_gpt":0.3092345128980099,"score_spread":0.2611792143510125,"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."}}