{"id":"W6956645977","doi":"10.60510/awfwi02621","title":"IGSN AWFWI02621 (EN22041-T03): Individual Sample (Biology, plant - Picea glauca) from Ogilvie Mountains (Nahoni Range), 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); Hydrology (agriculture); Vegetation (pathology); Period (music); Transect","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":[0.0008725504,0.00171584,0.001453356,0.008312503,0.001838334,0.001849163,0.002511438,0.001332916,0.127387],"category_scores_gemma":[0.002911679,0.0008558787,0.0007041281,0.02023063,0.000522361,0.0009273204,0.002051996,0.0007635753,0.1178904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002046834,"about_ca_system_score_gemma":0.006527383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1969724,"about_ca_topic_score_gemma":0.2962965,"domain_scores_codex":[0.9989474,0.00004766508,0.0001353345,0.0003294632,0.0002333307,0.0003069275],"domain_scores_gemma":[0.9978677,0.0001705673,0.0002321036,0.0005412576,0.0009286272,0.0002596222],"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":[0.000263459,0.00004447567,0.00969605,0.001527059,0.00009888339,0.0001644746,0.000684495,0.0002253429,0.002453497,0.001467451,0.9637369,0.0196379],"study_design_scores_gemma":[0.00006592678,0.00001754196,0.04973885,0.0002664152,0.00009221667,0.0001365494,0.0003960567,0.00008269458,0.0006919621,0.0005875758,0.9478948,0.00002953206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001307584,0.00006090645,0.0002927656,0.00001919005,0.00002197923,0.00003233274,0.9927807,0.0003721064,0.005112444],"genre_scores_gemma":[0.001527909,0.00007123034,0.0006839626,0.00002970331,0.000004653927,0.0001043784,0.993167,0.0003849013,0.004026257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8030276,"threshold_uncertainty_score":0.4261519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633460546795018,"score_gpt":0.2796244941123278,"score_spread":0.2432898886443776,"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."}}