{"id":"W6956915747","doi":"10.60510/awfwi02928","title":"IGSN AWFWI02928 (EN22071-T09): Individual Sample (Biology, plant - Abies lasiocarpa) from Fort Nelson River lowlands, British Columbia, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Hydrology (agriculture); Vegetation (pathology); Population","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002472799,0.0007531174,0.001481351,0.0005277531,0.0001533315,0.0007852771,0.0006234247,0.0009037338,0.004096025],"category_scores_gemma":[0.0003611291,0.000957258,0.0007159503,0.0005787953,0.0008171296,0.0002162109,0.0004064965,0.0009335426,0.0001120963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268968,"about_ca_system_score_gemma":0.0003239306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9693565,"about_ca_topic_score_gemma":0.8224269,"domain_scores_codex":[0.9959734,0.00007664739,0.0007359083,0.001488826,0.0006149471,0.001110238],"domain_scores_gemma":[0.9975278,0.0005255312,0.0003115967,0.00100164,0.00009013811,0.0005433126],"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":[0.00005027048,0.0002229981,0.04243279,0.0004811554,0.001325759,0.0006277536,0.0003314014,2.245462e-7,5.998248e-7,0.00004841478,0.9374829,0.01699576],"study_design_scores_gemma":[0.001717485,0.0002994612,0.01743858,0.002525266,0.001062002,0.0008761973,0.0003617602,0.00001117035,0.00000975404,0.00442047,0.9702123,0.001065563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006605974,0.008341369,0.0005132961,0.000182638,0.001750383,0.0009425992,0.9763392,0.0008036227,0.004520955],"genre_scores_gemma":[0.0412983,0.0006208519,0.002626289,0.0008545252,0.001926541,0.0001678161,0.9477985,0.0007440014,0.003963203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1469296,"threshold_uncertainty_score":0.9992878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715250105429961,"score_gpt":0.242109325567045,"score_spread":0.2249568245127453,"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."}}