{"id":"W6957125755","doi":"10.60510/awfwi02926","title":"IGSN AWFWI02926 (EN22071-T07): Individual Sample (Biology, plant - Abies lasiocarpa) 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); Hydrology (agriculture); Vegetation (pathology); Population","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":[0.001147817,0.001781507,0.001656546,0.0121582,0.003732351,0.002552754,0.002982337,0.001366487,0.1557321],"category_scores_gemma":[0.004008536,0.001041056,0.0005507373,0.02597874,0.0005994016,0.0007820175,0.001915162,0.001308664,0.1189221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005156335,"about_ca_system_score_gemma":0.01504767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7744815,"about_ca_topic_score_gemma":0.8741164,"domain_scores_codex":[0.9987321,0.00005302298,0.00009853301,0.0003114901,0.0004022645,0.0004024654],"domain_scores_gemma":[0.9964775,0.0002366553,0.0002581468,0.0006116045,0.001909689,0.0005063706],"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":[0.0001271305,0.00002333557,0.003695363,0.0004781941,0.00003237461,0.00006917486,0.000364948,0.0001075904,0.0008570449,0.0006625162,0.9811144,0.01246783],"study_design_scores_gemma":[0.00005717183,0.00001055427,0.04177899,0.0002704223,0.00005904452,0.00008072454,0.0003644397,0.000076763,0.0005365253,0.0004798789,0.9562519,0.00003363559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001181505,0.0000827523,0.0002946,0.00003080554,0.00002727169,0.00004816139,0.9891223,0.000378973,0.00883356],"genre_scores_gemma":[0.001870122,0.0001231222,0.001003898,0.00005499013,0.000009649039,0.0002019228,0.982042,0.0005472755,0.01414708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2255185,"threshold_uncertainty_score":0.5209759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483109013397981,"score_gpt":0.2466821216427387,"score_spread":0.2218510315087589,"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."}}