{"id":"W6938252353","doi":"10.60510/awfwi03419","title":"IGSN AWFWI03419 (EN22037-TG18): Individual Sample (Biology, leaf for DNA analyses) of sample EN22037-T18 from Richardson Mountains, 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); Sampling (signal processing)","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":[],"consensus_categories":[],"category_scores_codex":[0.001020571,0.001643765,0.001398379,0.0064703,0.002635281,0.001575451,0.002861675,0.001512396,0.1169513],"category_scores_gemma":[0.002274073,0.0009390456,0.0006299222,0.01489852,0.0006269705,0.0008328278,0.001867238,0.000939917,0.1201894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002689677,"about_ca_system_score_gemma":0.006599434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1795632,"about_ca_topic_score_gemma":0.3589939,"domain_scores_codex":[0.9988998,0.00004939717,0.0000979454,0.00041824,0.0002429907,0.000291471],"domain_scores_gemma":[0.9982342,0.0001253607,0.000166671,0.000538142,0.0006826859,0.0002529503],"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":[0.0006614015,0.0001111975,0.01760945,0.001712327,0.0001469597,0.0003504745,0.001699861,0.0004364165,0.01892558,0.003562046,0.8953462,0.05943804],"study_design_scores_gemma":[0.00006799062,0.00002939436,0.04700063,0.000207138,0.000102906,0.0001903675,0.000392684,0.0001171658,0.002275373,0.0008568806,0.9487171,0.00004239519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00464728,0.00009046489,0.001920199,0.00004419195,0.00004829697,0.0001216886,0.9736535,0.001380669,0.01809365],"genre_scores_gemma":[0.004035273,0.00007876373,0.002685035,0.00006715016,0.000007978672,0.0002311615,0.9832078,0.0012238,0.008463167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1795632,"threshold_uncertainty_score":0.3912411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08125886045202235,"score_gpt":0.3534463705263447,"score_spread":0.2721875100743223,"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."}}