{"id":"W6956509219","doi":"10.60510/awfwi02768","title":"IGSN AWFWI02768 (EN22058-T12): Individual Sample (Biology, plant - Salix sp.) from Yukon River Lowlands, Yukon, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Vegetation (pathology); Hydrology (agriculture); Willow","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001491292,0.001116024,0.001102296,0.001329069,0.0002207142,0.003046093,0.008268704,0.0008505819,0.001810613],"category_scores_gemma":[0.001780476,0.001028331,0.000329057,0.001039773,0.0005458225,0.004322417,0.006392574,0.001427479,0.0009524883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470228,"about_ca_system_score_gemma":0.0004624298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8108779,"about_ca_topic_score_gemma":0.2551889,"domain_scores_codex":[0.9926273,0.0005038935,0.0008917032,0.002968339,0.001380435,0.001628343],"domain_scores_gemma":[0.9919944,0.002268626,0.0006892892,0.004381829,0.0001063295,0.0005594738],"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":[0.00002730982,0.0001470191,0.0005502791,0.000266414,0.0008631256,0.0003337087,0.0005978912,0.000006227755,6.951278e-7,0.02445131,0.9700691,0.002686927],"study_design_scores_gemma":[0.0006826771,0.0001666236,0.0004849755,0.0003502544,0.0002026902,0.00002766295,0.00008603051,0.000516457,0.00002621827,0.01146127,0.9848554,0.001139725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006580654,0.00382043,0.1636546,0.001013711,0.002353249,0.0009521485,0.8253269,0.0009728759,0.001840309],"genre_scores_gemma":[0.0008866954,0.002358975,0.03638344,0.0008153642,0.001467872,0.0002288524,0.9534563,0.0005107333,0.003891759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.555689,"threshold_uncertainty_score":0.9998254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08004710894401096,"score_gpt":0.3241997104023872,"score_spread":0.2441526014583763,"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."}}