{"id":"W6956899573","doi":"10.60510/awfwi03528","title":"IGSN AWFWI03528 (EN22049-TG17): Individual Sample (Biology, leaf for DNA analyses) of sample EN22049-T17 from Ogilvie Mountains, 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; Sample preparation; Analytical Chemistry (journal)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150742,0.001802187,0.001457642,0.006722203,0.002383707,0.001807638,0.003023922,0.001593898,0.1548818],"category_scores_gemma":[0.00253891,0.001011436,0.0006975763,0.01375295,0.0006606587,0.0009863437,0.002216943,0.0009121556,0.1634152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520798,"about_ca_system_score_gemma":0.006214589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1333766,"about_ca_topic_score_gemma":0.2783932,"domain_scores_codex":[0.9987508,0.00005739862,0.000107721,0.0004355174,0.0003098217,0.0003387053],"domain_scores_gemma":[0.9979825,0.0001453765,0.0001929136,0.000624165,0.0007747536,0.0002801923],"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":[0.0005055424,0.0000900892,0.01152031,0.001732833,0.0001065491,0.0002604917,0.001227173,0.0003992433,0.01199131,0.002743921,0.9191262,0.05029636],"study_design_scores_gemma":[0.00005354493,0.00002334487,0.0293472,0.0001934989,0.00007188785,0.0001477622,0.0003203508,0.00009434271,0.00204024,0.0007596184,0.9669124,0.00003573766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003162834,0.00008894232,0.001725134,0.00004219684,0.00004819334,0.00009593746,0.9756125,0.00158918,0.01763508],"genre_scores_gemma":[0.002839006,0.00007004553,0.002529537,0.00005559261,0.00000746737,0.0001937466,0.9843165,0.001574363,0.008413842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8666234,"threshold_uncertainty_score":0.5181314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08990429660344447,"score_gpt":0.3561325391885785,"score_spread":0.2662282425851341,"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."}}