{"id":"W6957032989","doi":"10.60510/awfwi02487","title":"IGSN AWFWI02487 (EN22030-T04): Individual Sample (Biology, plant - Picea glauca) from Peel River Watershed, Northwest Territories, 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); Hydrology (agriculture); Period (music)","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":[0.001266195,0.001708785,0.001618369,0.00924371,0.001868069,0.001995937,0.002900622,0.001519045,0.1948625],"category_scores_gemma":[0.003713217,0.001059185,0.0007094002,0.02001222,0.0005051695,0.001028003,0.002028889,0.001195282,0.1845949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881063,"about_ca_system_score_gemma":0.005816658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1968933,"about_ca_topic_score_gemma":0.2565727,"domain_scores_codex":[0.9988035,0.00007354383,0.0001157119,0.0003529306,0.000359868,0.0002944439],"domain_scores_gemma":[0.9975447,0.000301749,0.0002598393,0.0006129127,0.0009420979,0.000338766],"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":[0.0001109397,0.00002539955,0.002223056,0.0004880312,0.00003040435,0.0000491675,0.0002161844,0.0001194891,0.0009774533,0.0007865252,0.9849031,0.01007031],"study_design_scores_gemma":[0.00006331694,0.00001172571,0.02003236,0.000186478,0.00004192628,0.00006916195,0.0001651727,0.00007526685,0.0005908048,0.0006020932,0.9781391,0.00002265613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005543501,0.00004095139,0.000344903,0.00002157812,0.00002385252,0.0000285744,0.9922501,0.0004303756,0.006305272],"genre_scores_gemma":[0.0006978104,0.00005912818,0.0009401132,0.00003622729,0.00000847809,0.0001362102,0.9918593,0.0005900412,0.005672744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8031067,"threshold_uncertainty_score":0.65188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937644282477567,"score_gpt":0.2565988881702868,"score_spread":0.2272224453455111,"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."}}