{"id":"W6956934159","doi":"10.60510/awfwi02508","title":"IGSN AWFWI02508 (EN22032-T13): Individual Sample (Biology, plant - Alnus crispa) from Richardson Mountains, 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); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00095121,0.00309234,0.003015997,0.002048075,0.0004096528,0.0007818161,0.003410811,0.003153811,0.006966599],"category_scores_gemma":[0.001640072,0.003116192,0.0008764368,0.001401683,0.001160003,0.0003805214,0.001854703,0.002693871,0.00321443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554942,"about_ca_system_score_gemma":0.001115716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966738,"about_ca_topic_score_gemma":0.993443,"domain_scores_codex":[0.9886218,0.0007033834,0.001910206,0.004088819,0.001705129,0.002970704],"domain_scores_gemma":[0.9915476,0.001825813,0.001351766,0.003887831,0.0002434678,0.001143515],"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":[0.0001486924,0.0003737975,0.008691653,0.0004329613,0.002300549,0.0004566186,0.001655634,0.000004692039,0.000008515251,0.000921931,0.9843262,0.0006787636],"study_design_scores_gemma":[0.001572222,0.0002894131,0.001866017,0.0008135207,0.001390407,0.0001325289,0.0006627861,0.00001855924,0.0001588371,0.00262444,0.9872318,0.003239468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007892835,0.01209148,0.000774566,0.000250657,0.007758255,0.001969166,0.9724738,0.003282031,0.0006107791],"genre_scores_gemma":[0.004878563,0.0004552871,0.004747014,0.000576959,0.008377194,0.0009118555,0.9737012,0.005322215,0.001029643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0116362,"threshold_uncertainty_score":0.999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825578194719208,"score_gpt":0.2735969908027055,"score_spread":0.2453412088555134,"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."}}