{"id":"W6900464217","doi":"10.60510/awfwi03225","title":"IGSN AWFWI03225 (EN22019-TG12): Individual Sample (Biology, leaf for DNA analyses) of sample EN22019-T12 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":[0.001358326,0.001747911,0.001507505,0.007057577,0.002658688,0.001783667,0.003245476,0.001611398,0.1814103],"category_scores_gemma":[0.002734851,0.00111748,0.000615971,0.0148891,0.0005868123,0.0008527097,0.00165907,0.001248593,0.161587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855595,"about_ca_system_score_gemma":0.005067523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1508221,"about_ca_topic_score_gemma":0.3044329,"domain_scores_codex":[0.9989069,0.00007213363,0.00008720174,0.0003875566,0.0002967161,0.0002495118],"domain_scores_gemma":[0.9982774,0.0002090625,0.0001920043,0.0004717581,0.0005332694,0.0003165839],"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":[0.0002500521,0.00006468257,0.004487435,0.0006623704,0.00005138231,0.0001341865,0.0005370437,0.0001921948,0.00437458,0.001779785,0.9622707,0.02519567],"study_design_scores_gemma":[0.0000841896,0.00001784831,0.0208529,0.0002274533,0.00005762301,0.0001307479,0.0001913928,0.00009229795,0.001322531,0.0007729541,0.97622,0.00003002892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001777549,0.00007130493,0.001335158,0.00004232961,0.00004750634,0.00008133848,0.9777035,0.001032996,0.01790826],"genre_scores_gemma":[0.001871543,0.00008062822,0.002758873,0.00007763819,0.00001473784,0.000267122,0.9845408,0.001274578,0.009114148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.849178,"threshold_uncertainty_score":0.6068779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05955417418195352,"score_gpt":0.3338925785826324,"score_spread":0.2743384044006789,"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."}}