{"id":"W6919403078","doi":"10.60510/awfwi02554","title":"IGSN AWFWI02554 (EN22035-T03): Individual Sample (Biology, plant - Picea glauca) from Richardson 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); Quality (philosophy); Yield (engineering); Sampling (signal processing)","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":[0.0007990702,0.001551649,0.001494037,0.008121535,0.002054561,0.001679541,0.002511198,0.001292159,0.1065695],"category_scores_gemma":[0.002411751,0.0008584097,0.0007041935,0.01878241,0.0005013465,0.0008149151,0.001956441,0.0008139139,0.0913802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216599,"about_ca_system_score_gemma":0.006023824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2378477,"about_ca_topic_score_gemma":0.339498,"domain_scores_codex":[0.9990456,0.00004031153,0.00009894649,0.0003298666,0.0002129407,0.0002723974],"domain_scores_gemma":[0.9981565,0.0001259463,0.0001828016,0.0005123995,0.0007914783,0.0002309003],"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":[0.0003497739,0.00004731328,0.01328068,0.001412389,0.0001396233,0.0001779905,0.0008528648,0.0002870047,0.004315142,0.001751185,0.9526854,0.02470068],"study_design_scores_gemma":[0.00007017292,0.00001937959,0.06824332,0.0001891138,0.0001201338,0.0001384466,0.0003806542,0.0001006199,0.0008694234,0.000631986,0.9292043,0.00003248725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002232511,0.00007273829,0.0005223071,0.0000211975,0.0000279631,0.00003914301,0.9903803,0.0006212434,0.006082603],"genre_scores_gemma":[0.002355253,0.0000675549,0.0008993522,0.00003082533,0.000005610616,0.0001103946,0.9917059,0.0005344064,0.004290862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7621523,"threshold_uncertainty_score":0.4729265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236990995443664,"score_gpt":0.2788149948063326,"score_spread":0.246445084851896,"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."}}