{"id":"W6919412523","doi":"10.60510/awfwi02398","title":"IGSN AWFWI02398 (EN22020-T04): Individual Sample (Biology, plant - Betula glandulosa) from Richardson Mountains, Northwest Territories, 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); Vegetation (pathology); Quality (philosophy); Precipitation; 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":[0.001106643,0.001648926,0.001565473,0.009484656,0.00188623,0.001867709,0.002665948,0.001356763,0.188066],"category_scores_gemma":[0.003425468,0.0009457182,0.0006334202,0.02025313,0.0004698811,0.0009386712,0.001867346,0.001061645,0.1649166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618217,"about_ca_system_score_gemma":0.005101614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2075532,"about_ca_topic_score_gemma":0.2866679,"domain_scores_codex":[0.9989927,0.00005989267,0.00009503824,0.0003017968,0.0002855402,0.0002649349],"domain_scores_gemma":[0.997771,0.0002483126,0.0002588598,0.0005286257,0.0008473687,0.0003458387],"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":[0.0001052518,0.00002050809,0.002472519,0.0004761638,0.0000310051,0.00004581836,0.000219254,0.00009522304,0.0007080703,0.0006436008,0.9867977,0.008384936],"study_design_scores_gemma":[0.00006157496,0.00001088236,0.02423373,0.0002101816,0.00004782127,0.00007048229,0.0001988743,0.00005836014,0.000411155,0.000494535,0.9741828,0.00001964433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000618695,0.00004685593,0.0002378002,0.0000194294,0.00002407286,0.00002229409,0.9931898,0.0003415457,0.005499517],"genre_scores_gemma":[0.0008340566,0.00006847281,0.000726451,0.00003550588,0.00001048999,0.0001193313,0.9922401,0.0004646928,0.00550078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7924468,"threshold_uncertainty_score":0.6291434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677621943025457,"score_gpt":0.2678058857490063,"score_spread":0.2410296663187518,"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."}}