{"id":"W6919355257","doi":"10.60510/awfwi03369","title":"IGSN AWFWI03369 (EN22033-TG15): Individual Sample (Biology, leaf for DNA analyses) of sample EN22033-T15 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":[0.0009596057,0.001533606,0.00128865,0.005888495,0.002505345,0.001495791,0.002691774,0.001454263,0.1180158],"category_scores_gemma":[0.002092697,0.0008987937,0.0006013612,0.01347783,0.0005927758,0.000779023,0.001752939,0.0008929423,0.1180791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002595371,"about_ca_system_score_gemma":0.006117398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1793384,"about_ca_topic_score_gemma":0.3677888,"domain_scores_codex":[0.9989712,0.00004533921,0.00009032847,0.0003956544,0.000232033,0.0002654504],"domain_scores_gemma":[0.9983399,0.0001130363,0.0001544897,0.0005092149,0.000642568,0.0002407678],"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":[0.000638596,0.0001099246,0.01763852,0.001615764,0.0001407734,0.0003380858,0.001575381,0.0004477875,0.0203907,0.003594747,0.8931217,0.06038795],"study_design_scores_gemma":[0.00006746212,0.00003009664,0.05007151,0.0002024635,0.00009867903,0.0001981449,0.0003856558,0.0001285027,0.002486146,0.0008746785,0.9454136,0.00004296504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005103065,0.00008980637,0.002096884,0.00004628769,0.00004940662,0.0001285191,0.9707811,0.001483538,0.02022146],"genre_scores_gemma":[0.004490169,0.00007496832,0.002871179,0.00007298967,0.000007734058,0.0002260546,0.9817547,0.001257011,0.009245142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8206615,"threshold_uncertainty_score":0.3948024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08218708265705368,"score_gpt":0.3535261782221307,"score_spread":0.2713390955650771,"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."}}