{"id":"W6900610764","doi":"10.60510/awfwi02765","title":"IGSN AWFWI02765 (EN22058-T09): Individual Sample (Biology, plant - Picea mariana) from Yukon River Lowlands, Yukon, 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); Precipitation","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":[0.0008522803,0.001634672,0.001471907,0.007928271,0.002139491,0.001897683,0.002399065,0.001499653,0.1218826],"category_scores_gemma":[0.002555267,0.0008800736,0.0007369315,0.01757893,0.0005510818,0.000947012,0.002176197,0.0008173889,0.1036009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261249,"about_ca_system_score_gemma":0.007210731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2482704,"about_ca_topic_score_gemma":0.3670679,"domain_scores_codex":[0.9989216,0.00005070927,0.0001195859,0.0003284534,0.0002474926,0.0003322088],"domain_scores_gemma":[0.9982969,0.0001278321,0.0001656364,0.0004617178,0.0007596724,0.0001882239],"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":[0.0003344064,0.00004204883,0.01177297,0.001764969,0.0001276753,0.0002313542,0.0010251,0.0002947641,0.004284778,0.001921708,0.9487517,0.02944864],"study_design_scores_gemma":[0.0000468367,0.00001580309,0.0503061,0.0002188193,0.00009711707,0.0001362388,0.0004568367,0.00007288132,0.0008290801,0.0005549193,0.9472327,0.00003272362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002151478,0.0001112364,0.0006172693,0.00002808139,0.00003610919,0.000052349,0.988405,0.0005949839,0.008003545],"genre_scores_gemma":[0.002622193,0.0001008657,0.001145732,0.00003963044,0.000006168478,0.0001624035,0.9891257,0.0005805449,0.006216737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7517296,"threshold_uncertainty_score":0.4936506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173811005509954,"score_gpt":0.2619373041042262,"score_spread":0.2301991940491267,"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."}}