{"id":"W6900590923","doi":"10.60510/awfwi02493","title":"IGSN AWFWI02493 (EN22031-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":"","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":[0.001326471,0.001554993,0.001493459,0.008884656,0.002071065,0.002093132,0.002946158,0.001554419,0.1946321],"category_scores_gemma":[0.004145972,0.001020178,0.0006615423,0.01837221,0.000530594,0.001009754,0.002227153,0.001201696,0.1820145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195521,"about_ca_system_score_gemma":0.005779674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1771141,"about_ca_topic_score_gemma":0.251668,"domain_scores_codex":[0.998728,0.00007892861,0.0001226234,0.0003835372,0.0003896865,0.00029724],"domain_scores_gemma":[0.9975242,0.0003178631,0.0002577399,0.000628464,0.0009364363,0.0003352997],"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":[0.0001168945,0.00002849615,0.002681956,0.0004857711,0.00003000004,0.00006453558,0.0003103329,0.0001210028,0.001137061,0.001062348,0.9816938,0.01226785],"study_design_scores_gemma":[0.00005248925,0.00001040934,0.01871806,0.0001826281,0.00003697209,0.0000755229,0.0001987967,0.00006338656,0.0005618065,0.0006321432,0.979447,0.00002080297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008039517,0.00004907805,0.000508922,0.00003321141,0.00003177493,0.00004216324,0.9889658,0.0004841638,0.009080895],"genre_scores_gemma":[0.0009534683,0.00006948465,0.001329806,0.00004996064,0.00001053441,0.0002034519,0.9886315,0.0007094869,0.008042231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8228859,"threshold_uncertainty_score":0.6511092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819981844605472,"score_gpt":0.2508684105293108,"score_spread":0.2226685920832561,"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."}}