{"id":"W6938158055","doi":"10.60510/awfwi03445","title":"IGSN AWFWI03445 (EN22040-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22040-T01 from Ogilvie Mountains (Nahoni Range), Yukon, 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","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002258813,0.003619344,0.005581302,0.003660391,0.0004811588,0.0005093178,0.004463352,0.003515281,0.01083385],"category_scores_gemma":[0.008478135,0.003633711,0.0026649,0.002778802,0.0018859,0.0004635757,0.001851949,0.002069459,0.001184075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137724,"about_ca_system_score_gemma":0.001451799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9462228,"about_ca_topic_score_gemma":0.8152528,"domain_scores_codex":[0.9850155,0.001022518,0.003528233,0.004954922,0.001866743,0.003612132],"domain_scores_gemma":[0.9806665,0.009140934,0.002928342,0.005433309,0.0006964756,0.001134485],"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":[0.0004763542,0.0007418714,0.003600792,0.001569628,0.006454106,0.00004466039,0.001461621,0.00006437484,0.0001237102,0.001797265,0.9819426,0.001723022],"study_design_scores_gemma":[0.004231215,0.0005863784,0.001114993,0.001110052,0.004824639,0.00003429787,0.0009563304,0.00009489039,0.001326846,0.01922849,0.9627988,0.003693092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002116895,0.01458174,0.01312033,0.0002250227,0.003084273,0.004469796,0.9597883,0.00194547,0.0006682256],"genre_scores_gemma":[0.01638145,0.0005203694,0.03193083,0.0005794261,0.00374942,0.001927785,0.9380558,0.005579805,0.001275142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1309699,"threshold_uncertainty_score":0.9998739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08665617791294516,"score_gpt":0.3520467547106704,"score_spread":0.2653905767977253,"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."}}