{"id":"W6937971630","doi":"10.60510/awfwi03558","title":"IGSN AWFWI03558 (EN22052-TG13): Individual Sample (Biology, leaf for DNA analyses) of sample EN22052-T13 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":[],"consensus_categories":[],"category_scores_codex":[0.001188192,0.001615117,0.001465571,0.005519167,0.002665446,0.00168934,0.002858193,0.001600131,0.1447296],"category_scores_gemma":[0.002138547,0.001004045,0.0006707062,0.01051054,0.0006426016,0.0008255753,0.002041864,0.0009620778,0.1454779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116011,"about_ca_system_score_gemma":0.006454059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1529039,"about_ca_topic_score_gemma":0.3648789,"domain_scores_codex":[0.9987902,0.00005032818,0.00009561802,0.0004792149,0.000298496,0.0002862047],"domain_scores_gemma":[0.9982858,0.0001126132,0.0001321373,0.0005487781,0.0006613489,0.000259333],"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":[0.0006260063,0.0001016862,0.0134273,0.001633998,0.0001247597,0.0003976206,0.00135527,0.000471642,0.03036465,0.003905481,0.8761238,0.07146783],"study_design_scores_gemma":[0.00005526545,0.00002624279,0.02850878,0.000172923,0.00008266418,0.0002198202,0.0002937765,0.0001154971,0.003585665,0.000862174,0.9660379,0.00003933833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005365799,0.0001273215,0.00394152,0.00006605007,0.00006415011,0.0001732456,0.9600968,0.002455673,0.02770938],"genre_scores_gemma":[0.004681924,0.00009583706,0.004697873,0.0001022483,0.000008357354,0.0002861581,0.9720806,0.00247011,0.01557684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8470961,"threshold_uncertainty_score":0.4841686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08771348656698656,"score_gpt":0.3492058029965507,"score_spread":0.2614923164295641,"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."}}