{"id":"W6919147955","doi":"10.60510/awfwi03702","title":"IGSN AWFWI03702 (EN22065-TG19): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T19 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":[0.001221793,0.001946603,0.001506816,0.008005327,0.004176719,0.002141724,0.00348267,0.001526764,0.1889685],"category_scores_gemma":[0.002506885,0.001141049,0.0005534711,0.01523919,0.0006554717,0.0006749803,0.001685129,0.001297497,0.1451512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004165771,"about_ca_system_score_gemma":0.009223908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4987256,"about_ca_topic_score_gemma":0.7558776,"domain_scores_codex":[0.9988978,0.00004804533,0.00006444792,0.0003412116,0.0003519122,0.0002966519],"domain_scores_gemma":[0.9981267,0.0001621996,0.0001467137,0.0004583398,0.0007335034,0.0003725142],"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":[0.0002231848,0.00004772585,0.003817107,0.0005670383,0.00003913269,0.0001567045,0.000516776,0.000177553,0.004715789,0.001468179,0.9609459,0.02732481],"study_design_scores_gemma":[0.00006945706,0.00001442428,0.02516097,0.000233193,0.00005900858,0.0001378096,0.0001978761,0.0001104909,0.001948278,0.0007434455,0.9712871,0.00003804027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002654703,0.0001058477,0.001531778,0.00006458164,0.00005732463,0.0001194421,0.9647668,0.001736853,0.02896265],"genre_scores_gemma":[0.003194133,0.0001205686,0.003096245,0.0001088893,0.00001569624,0.0002987706,0.969443,0.001976335,0.02174633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8110315,"threshold_uncertainty_score":0.9916453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908420448986753,"score_gpt":0.3094976561727237,"score_spread":0.2604134516828561,"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."}}