{"id":"W6900682179","doi":"10.60510/awfwi03561","title":"IGSN AWFWI03561 (EN22053-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22053-T03 from Tintina Trench, Yukon, 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); Sample preparation","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":[0.001263812,0.001657999,0.001520813,0.005976607,0.002708865,0.00186925,0.002899906,0.001632003,0.1447646],"category_scores_gemma":[0.002499182,0.001032426,0.000713526,0.01098702,0.0006502483,0.0008590037,0.002188046,0.001011703,0.1595217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003197569,"about_ca_system_score_gemma":0.006855982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1611761,"about_ca_topic_score_gemma":0.3554434,"domain_scores_codex":[0.9986307,0.00005999133,0.0001092699,0.0005316692,0.0003480452,0.0003202861],"domain_scores_gemma":[0.9979329,0.0001346297,0.0001502017,0.0006799769,0.0008100105,0.0002922001],"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":[0.0006016485,0.00009806788,0.01293473,0.001509211,0.0001218349,0.0003444037,0.001247299,0.0004527522,0.0256305,0.003540471,0.893254,0.06026518],"study_design_scores_gemma":[0.00005546711,0.00002549265,0.02815999,0.0001657229,0.0000812479,0.0002021388,0.0002915229,0.0001096117,0.003483588,0.0008411348,0.9665458,0.00003842695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004471595,0.0001096592,0.003234318,0.00006189407,0.00005882477,0.0001547372,0.9667668,0.002172525,0.02296966],"genre_scores_gemma":[0.003722058,0.00007957493,0.00403012,0.00009225863,0.000007975455,0.0002698565,0.9759419,0.002305439,0.01355083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8552354,"threshold_uncertainty_score":0.4842858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08802306539146902,"score_gpt":0.3496552458225379,"score_spread":0.2616321804310689,"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."}}