{"id":"W6900586762","doi":"10.60510/awfwi02137","title":"IGSN AWFWI02137 (EN22001-T03): Individual Sample (Biology, plant - Picea glauca) from Marsh Lake, 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); Marsh; Quality (philosophy); Productivity","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":[0.0008568619,0.001577081,0.001535396,0.007563298,0.002269076,0.001838295,0.002699865,0.001514312,0.1276925],"category_scores_gemma":[0.002944954,0.0009441296,0.000703199,0.01707545,0.0005574243,0.0009771991,0.002252547,0.0008783574,0.1083077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002751298,"about_ca_system_score_gemma":0.007191401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2547684,"about_ca_topic_score_gemma":0.3611842,"domain_scores_codex":[0.9989516,0.00004215072,0.0001096895,0.0003458487,0.0002424737,0.0003082905],"domain_scores_gemma":[0.9977604,0.0001692773,0.0002183457,0.0006062827,0.000971599,0.0002740131],"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":[0.0003392139,0.00004633863,0.0118686,0.001299429,0.0001207528,0.000166437,0.0006988519,0.0002561031,0.004212473,0.001503771,0.9564257,0.02306237],"study_design_scores_gemma":[0.00007666388,0.00002210558,0.06414542,0.0001926837,0.0001178417,0.0001457572,0.0003779742,0.0001111282,0.001037932,0.0006338816,0.9331005,0.0000380165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001785608,0.00005981928,0.0005420218,0.00002551876,0.0000271934,0.00004186894,0.9910488,0.0006297302,0.00583938],"genre_scores_gemma":[0.00212969,0.00005804616,0.0009175168,0.00003805697,0.000005156476,0.0001274614,0.9916821,0.0005442469,0.004497719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7452316,"threshold_uncertainty_score":0.5065711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640128869385076,"score_gpt":0.2713695381480729,"score_spread":0.2349682494542222,"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."}}