{"id":"W6938312054","doi":"10.60510/awfwi02929","title":"IGSN AWFWI02929 (EN22071-T10): 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":[0.001148359,0.001771019,0.001635041,0.01180989,0.003769627,0.002517394,0.003014019,0.001391785,0.1556841],"category_scores_gemma":[0.003935981,0.001034642,0.0005457061,0.02525023,0.0006018328,0.000769986,0.001914048,0.001324875,0.1188298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00521528,"about_ca_system_score_gemma":0.01499035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7707468,"about_ca_topic_score_gemma":0.8765638,"domain_scores_codex":[0.9987294,0.00005238906,0.00009643416,0.0003161448,0.0004014161,0.0004040982],"domain_scores_gemma":[0.996531,0.0002350088,0.0002543255,0.000604564,0.001868368,0.0005067567],"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":[0.0001335979,0.00002442456,0.00373813,0.0004781128,0.00003194465,0.0000750996,0.0003705757,0.0001104227,0.0009333841,0.0006840545,0.980755,0.0126653],"study_design_scores_gemma":[0.00005872158,0.00001074764,0.04074443,0.0002698047,0.00005790549,0.0000840544,0.0003625468,0.00007638351,0.0005531056,0.0004862444,0.9572622,0.00003395606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00124388,0.00008179543,0.0003228569,0.00003184891,0.0000289045,0.00005162484,0.9886476,0.0003956216,0.009195833],"genre_scores_gemma":[0.00194939,0.0001227421,0.001038208,0.0000593044,0.000009837028,0.0002113319,0.9813761,0.0005806006,0.01465267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7707468,"threshold_uncertainty_score":0.520815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508842408850595,"score_gpt":0.2466782643527904,"score_spread":0.2215898402642844,"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."}}