{"id":"W6975774856","doi":"10.60510/awfwi02791","title":"IGSN AWFWI02791 (EN22061-T03): Individual Sample (Biology, plant - Picea mariana) from Morley lake (Cassiar Mountains), 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); Hydrology (agriculture); Period (music); Vegetation (pathology)","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":[0.001205561,0.002035719,0.001780001,0.01236359,0.003887626,0.00279361,0.003148232,0.001684155,0.17825],"category_scores_gemma":[0.004026821,0.001108416,0.0006086645,0.02686262,0.0006555717,0.0008396415,0.002201749,0.00131744,0.1310807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004408916,"about_ca_system_score_gemma":0.01195093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6165819,"about_ca_topic_score_gemma":0.7818179,"domain_scores_codex":[0.9987745,0.00005213668,0.00009766747,0.0003383735,0.0003691578,0.0003681741],"domain_scores_gemma":[0.9972573,0.0002458818,0.00024078,0.0005290948,0.001257606,0.0004694065],"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":[0.000127211,0.00002162554,0.003170296,0.0005711188,0.00003671409,0.00008671568,0.0003585663,0.0001118267,0.0009402984,0.000739425,0.9815499,0.01228639],"study_design_scores_gemma":[0.00006419422,0.0000094012,0.02881663,0.000330806,0.00006591319,0.00009918342,0.0002648776,0.00007157641,0.0005192049,0.000574245,0.9691515,0.00003245198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001062881,0.00009668638,0.0003421649,0.00003588033,0.00003293133,0.00004452015,0.9883409,0.0004875549,0.009556529],"genre_scores_gemma":[0.001653227,0.000126566,0.001044792,0.00006326885,0.00001054217,0.0001857019,0.9854642,0.0006879274,0.01076366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3834181,"threshold_uncertainty_score":0.7713524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397134096641313,"score_gpt":0.2477019564875209,"score_spread":0.2237306155211078,"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."}}