{"id":"W6975788154","doi":"10.60510/awfwi03766","title":"IGSN AWFWI03766 (EN22071-TG12): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T12 from Fort Nelson River lowlands, British Columbia, 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","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":[0.001351109,0.001965602,0.001576272,0.008520382,0.004338129,0.002348356,0.003635025,0.001801472,0.2095839],"category_scores_gemma":[0.002902161,0.001218683,0.0005594467,0.01506806,0.0007167035,0.0007964107,0.001958744,0.00138486,0.1711908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00457571,"about_ca_system_score_gemma":0.0104313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5235173,"about_ca_topic_score_gemma":0.7879958,"domain_scores_codex":[0.9987785,0.00005236062,0.00007285404,0.0003772267,0.0004069704,0.0003120357],"domain_scores_gemma":[0.9978406,0.0001612488,0.0001535021,0.0004939341,0.0009395946,0.0004110622],"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":[0.0001995358,0.00004043615,0.003548207,0.0005328986,0.00003426827,0.0001471853,0.000506647,0.0001672926,0.004351059,0.00158054,0.9600459,0.028846],"study_design_scores_gemma":[0.00004790695,0.00001246199,0.01818077,0.0002213109,0.00004619656,0.0001258677,0.0001905968,0.00008520243,0.00158113,0.0008002692,0.9786729,0.00003535982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002512181,0.0001247795,0.001885264,0.00008145515,0.00007045821,0.0001328083,0.9582637,0.001773768,0.03515557],"genre_scores_gemma":[0.003130859,0.0001430688,0.003751589,0.000134866,0.00001674664,0.0003186498,0.9600381,0.002248254,0.0302178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4764827,"threshold_uncertainty_score":0.9585777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05872505110014586,"score_gpt":0.3153472944551921,"score_spread":0.2566222433550462,"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."}}