{"id":"W6900621657","doi":"10.60510/awfwi02945","title":"IGSN AWFWI02945 (EN22071-T26): Individual Sample (Biology, plant - Virburnum edule) from Fort Nelson River lowlands, 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); Hydrology (agriculture); Sampling (signal processing); Period (music)","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":[0.001252454,0.001885115,0.001762243,0.01255671,0.003845087,0.002704459,0.003267566,0.001531842,0.1995131],"category_scores_gemma":[0.004412813,0.001109509,0.0005858869,0.02579657,0.000618652,0.0008675535,0.002171336,0.001402305,0.1527354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005321332,"about_ca_system_score_gemma":0.01411164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7153803,"about_ca_topic_score_gemma":0.8363087,"domain_scores_codex":[0.9986901,0.00005783878,0.00009309382,0.0003428792,0.0003968052,0.0004193769],"domain_scores_gemma":[0.9966253,0.0002578509,0.0002553743,0.0006542086,0.001663857,0.0005434208],"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":[0.0001059987,0.00001839118,0.002392036,0.0003963181,0.00002528898,0.00005871235,0.00028713,0.00009999984,0.000716705,0.0006580761,0.9848989,0.01034234],"study_design_scores_gemma":[0.00005098133,0.000009177002,0.02587719,0.0002493456,0.00004871292,0.00006974823,0.0002722869,0.00007205437,0.0005191871,0.0005114078,0.9722885,0.0000313384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009307696,0.0000750543,0.0003484931,0.0000338776,0.00003075993,0.00004384849,0.9886708,0.0005338213,0.009332513],"genre_scores_gemma":[0.001493819,0.00009839722,0.0009860196,0.00005770083,0.000009802645,0.0001656797,0.982489,0.0007673483,0.01393223],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2846197,"threshold_uncertainty_score":0.6674377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216696827229193,"score_gpt":0.2452589671194017,"score_spread":0.2235892843964824,"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."}}