{"id":"W6919502518","doi":"10.60510/awfwi03793","title":"IGSN AWFWI03793 (EN22074-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22074-T01 from Northern Rocky Mountains, 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001320679,0.002030459,0.001585947,0.008664003,0.004272318,0.002341622,0.003621388,0.00167356,0.2037237],"category_scores_gemma":[0.003018962,0.001192688,0.0005838349,0.01684459,0.0006610809,0.0007130879,0.001743955,0.00134657,0.1553211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004504951,"about_ca_system_score_gemma":0.01071757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5439283,"about_ca_topic_score_gemma":0.7724647,"domain_scores_codex":[0.9987984,0.0000560461,0.00007264679,0.0003509845,0.0003837368,0.0003382347],"domain_scores_gemma":[0.9977573,0.0002002596,0.0001707625,0.0005299413,0.0009126907,0.0004291156],"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":[0.000187694,0.00003933095,0.003059838,0.0004989036,0.00003475336,0.0001207354,0.0003928144,0.0001577582,0.002775432,0.001145743,0.9704178,0.0211691],"study_design_scores_gemma":[0.00007464305,0.00001465263,0.02413976,0.0002449691,0.00006091821,0.0001257859,0.0002044403,0.0001138502,0.001493284,0.0007866157,0.9727012,0.00003990837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002022742,0.00009325452,0.001124133,0.00006232034,0.00005625708,0.0001013365,0.9708792,0.00143359,0.02422715],"genre_scores_gemma":[0.002544092,0.000107644,0.002483448,0.00009765391,0.00001496568,0.000268064,0.9740726,0.00161587,0.01879574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7962763,"threshold_uncertainty_score":0.9175152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04910550254969609,"score_gpt":0.3100073961053523,"score_spread":0.2609018935556562,"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."}}