{"id":"W6956509219","doi":"10.60510/awfwi02768","title":"IGSN AWFWI02768 (EN22058-T12): Individual Sample (Biology, plant - Salix sp.) from Yukon River Lowlands, Yukon, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Vegetation (pathology); Hydrology (agriculture); Willow","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":[0.001141771,0.001272588,0.001177935,0.007891954,0.001723352,0.001739017,0.002279821,0.001239479,0.1474004],"category_scores_gemma":[0.003968938,0.0007727977,0.0005070287,0.01879166,0.0005183645,0.001038724,0.002128045,0.0006604837,0.1466833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003234129,"about_ca_system_score_gemma":0.009498409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2891089,"about_ca_topic_score_gemma":0.3373971,"domain_scores_codex":[0.9987473,0.00006128437,0.0001715818,0.0003530142,0.0003672219,0.0002996109],"domain_scores_gemma":[0.9957744,0.0002569104,0.0003274457,0.0009898156,0.002306169,0.0003452225],"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":[0.0002144327,0.00002593648,0.005954275,0.0009585897,0.00003652372,0.00009655115,0.0004904605,0.0001435606,0.002701597,0.001683483,0.9603068,0.02738773],"study_design_scores_gemma":[0.00003104252,0.00001155259,0.02804723,0.000162423,0.00003826577,0.00008532773,0.0003628951,0.00008317111,0.001048992,0.0004450209,0.9696613,0.00002277587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001642504,0.00006580971,0.0007289166,0.00004885788,0.00002787906,0.00005864831,0.9838526,0.001022752,0.01255199],"genre_scores_gemma":[0.002175199,0.00008414706,0.001652567,0.00004018701,0.000005850603,0.0001457121,0.9872302,0.0007950949,0.007871008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7108911,"threshold_uncertainty_score":0.5748521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08004710894401096,"score_gpt":0.3241997104023872,"score_spread":0.2441526014583763,"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."}}