{"id":"W6956832454","doi":"10.60510/awfwi02824","title":"IGSN AWFWI02824 (EN22063-T06): Individual Sample (Biology, plant - Picea mariana) from Liard River, 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); Quality (philosophy); Period (music); Statistical analysis","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":[0.001569042,0.002228094,0.002469484,0.01383955,0.005241688,0.003598158,0.003954921,0.002358688,0.1735043],"category_scores_gemma":[0.004752569,0.001323329,0.0007864633,0.02618342,0.000867087,0.001051395,0.003040579,0.001926038,0.1428387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004896032,"about_ca_system_score_gemma":0.01232318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5062069,"about_ca_topic_score_gemma":0.6994964,"domain_scores_codex":[0.9983569,0.00006706844,0.0001234291,0.0005233233,0.0005253507,0.0004040115],"domain_scores_gemma":[0.996865,0.0002873777,0.0002422951,0.0007406096,0.001373563,0.0004910905],"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":[0.0002016698,0.00002816605,0.003056444,0.0009068559,0.00005938538,0.0001684177,0.0006482197,0.0001560427,0.003039827,0.001479936,0.9725704,0.01768465],"study_design_scores_gemma":[0.00005318053,0.00001014552,0.01869558,0.0003138362,0.00008449986,0.000139395,0.0002596306,0.00006536278,0.0008444681,0.0007857987,0.9787108,0.00003732024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001680075,0.0001835784,0.00101924,0.00006171531,0.00006088291,0.0000689108,0.9819342,0.001187255,0.01380416],"genre_scores_gemma":[0.00212133,0.0001989317,0.002139904,0.00009849307,0.00001587505,0.0002739472,0.9791926,0.001715788,0.01424315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4937931,"threshold_uncertainty_score":0.9934022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481798105920665,"score_gpt":0.244128248102447,"score_spread":0.2193102670432403,"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."}}