{"id":"W6938150508","doi":"10.60510/awfwi02931","title":"IGSN AWFWI02931 (EN22071-T12): Individual Sample (Biology, plant - Picea glauca) from Fort Nelson River lowlands, 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001176437,0.00183634,0.001831141,0.01232262,0.003831513,0.002549796,0.003211698,0.001499212,0.1663242],"category_scores_gemma":[0.003789358,0.001063431,0.0005952363,0.02624844,0.000614342,0.0008107187,0.002015505,0.001369548,0.1237022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005147846,"about_ca_system_score_gemma":0.01390781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7493075,"about_ca_topic_score_gemma":0.8612629,"domain_scores_codex":[0.9987584,0.00005153517,0.00009004254,0.0003345269,0.0003799442,0.0003855309],"domain_scores_gemma":[0.9966904,0.0002299478,0.0002483184,0.0006050518,0.001722924,0.0005033494],"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":[0.0001297003,0.00002123605,0.003356169,0.0005267813,0.00003427316,0.00007399021,0.0003527591,0.0001164706,0.0009919204,0.0006621151,0.9801805,0.01355414],"study_design_scores_gemma":[0.0000576093,0.00001078679,0.03863085,0.0002877061,0.00006193733,0.00008754896,0.0003023003,0.00007869302,0.0005616752,0.0004878076,0.9593996,0.00003360154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001164958,0.00009609896,0.0003631414,0.0000324573,0.00003044923,0.00004780274,0.9886585,0.0005024193,0.009104222],"genre_scores_gemma":[0.001794785,0.0001240556,0.001113631,0.00005970527,0.0000104216,0.0001775181,0.982991,0.0007194348,0.01300944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8336759,"threshold_uncertainty_score":0.5564098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414306381161633,"score_gpt":0.2473405076699647,"score_spread":0.2231974438583484,"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."}}