{"id":"W6919105205","doi":"10.60510/awfwi03758","title":"IGSN AWFWI03758 (EN22071-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T03 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":[0.001399742,0.001946475,0.001549825,0.008813916,0.004014362,0.002428977,0.003641318,0.001696927,0.2197897],"category_scores_gemma":[0.003245713,0.001197052,0.0005678537,0.01594626,0.0006990123,0.0007983666,0.001961414,0.001347355,0.1861266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004882518,"about_ca_system_score_gemma":0.01155005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5648733,"about_ca_topic_score_gemma":0.7967716,"domain_scores_codex":[0.9987249,0.00005767516,0.00007614072,0.0003699871,0.0004307376,0.0003405333],"domain_scores_gemma":[0.9975426,0.0001822714,0.0001738489,0.0005562498,0.001108074,0.0004370001],"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":[0.0001651235,0.00003332904,0.003003563,0.0004702619,0.00002834553,0.0001054386,0.000408838,0.0001581656,0.002839739,0.001292729,0.9669147,0.02457967],"study_design_scores_gemma":[0.0000445257,0.00001113107,0.0169786,0.0002095738,0.00003957253,0.00009890043,0.0001787311,0.00008846205,0.001322565,0.0007484843,0.9802464,0.00003308301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001896678,0.0001027181,0.001454117,0.00006870798,0.00006128904,0.0001141927,0.9642351,0.001540592,0.03052668],"genre_scores_gemma":[0.002492029,0.0001198311,0.003141409,0.0001147754,0.00001512871,0.0002835417,0.9643896,0.001958989,0.02748465],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4351267,"threshold_uncertainty_score":0.8753785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05815204222693213,"score_gpt":0.3149849771674105,"score_spread":0.2568329349404783,"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."}}