{"id":"W6956470529","doi":"10.60510/awfwi03655","title":"IGSN AWFWI03655 (EN22063-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22063-T02 from Liard River, 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); DNA; Sample size determination","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001573439,0.002251747,0.004863537,0.00164512,0.0004839598,0.001252019,0.003881997,0.00335468,0.01790772],"category_scores_gemma":[0.007342735,0.003373917,0.002414308,0.002220761,0.002618858,0.0004391347,0.00187206,0.001817652,0.0009687778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008915501,"about_ca_system_score_gemma":0.001397046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967009,"about_ca_topic_score_gemma":0.9934073,"domain_scores_codex":[0.9866782,0.0008159681,0.003061615,0.004644856,0.001672319,0.003127057],"domain_scores_gemma":[0.9851833,0.006408163,0.002521399,0.004061393,0.0007303837,0.001095376],"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":[0.0001463547,0.0006248926,0.004126949,0.001060906,0.005261046,0.00008223145,0.0007920045,0.00001551587,0.00005670379,0.0001719456,0.983649,0.004012437],"study_design_scores_gemma":[0.003797494,0.0005570982,0.001888422,0.001489157,0.003973548,0.00006733968,0.0005036333,0.00005955254,0.0003449213,0.01856276,0.9654722,0.003283865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003438994,0.01194468,0.008904099,0.0000708867,0.003029316,0.004021653,0.9663246,0.001773556,0.0004922728],"genre_scores_gemma":[0.007234491,0.0005728946,0.04016173,0.0004055787,0.002855227,0.001503974,0.9386824,0.004818516,0.003765132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03125763,"threshold_uncertainty_score":0.9998091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626106752226741,"score_gpt":0.3182225998140252,"score_spread":0.2556119245913511,"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."}}