{"id":"W6975645852","doi":"10.60510/awfwi02469","title":"IGSN AWFWI02469 (EN22027-T01): Individual Sample (Biology, plant - Picea mariana) from Peel River Watershed, Northwest Territories, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","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":[0.001117341,0.001213124,0.0009144028,0.006316238,0.001302013,0.001354235,0.001973429,0.0009091608,0.1276859],"category_scores_gemma":[0.004102085,0.000647112,0.0004124824,0.01318133,0.0003360464,0.0006829509,0.00170285,0.0006882282,0.1018365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167442,"about_ca_system_score_gemma":0.008850646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3428136,"about_ca_topic_score_gemma":0.3688438,"domain_scores_codex":[0.9991421,0.00006595452,0.0000924354,0.0001851004,0.000260615,0.0002538753],"domain_scores_gemma":[0.9971339,0.0002314561,0.0002514993,0.000417894,0.001607517,0.0003576945],"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":[0.0000580677,0.00002239986,0.004536922,0.0002132514,0.00001101228,0.00002931387,0.0001713242,0.00005830108,0.0002566449,0.0007667178,0.9858819,0.007994059],"study_design_scores_gemma":[0.00007896475,0.00001707922,0.07928123,0.0001706755,0.0000266616,0.0000601634,0.0004226358,0.0001487808,0.0005550092,0.0004902246,0.91873,0.00001857301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001455138,0.00003293515,0.0002009454,0.00004756204,0.00002571453,0.00007447661,0.9888159,0.0001878158,0.009159487],"genre_scores_gemma":[0.001835685,0.00006899851,0.0007532452,0.00006374446,0.00001272791,0.0003774899,0.9754992,0.000194794,0.02119418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6571864,"threshold_uncertainty_score":0.6816363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219635819422286,"score_gpt":0.2634078337821576,"score_spread":0.241444251839929,"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."}}