{"id":"W6919230299","doi":"10.60510/awfwi02616","title":"IGSN AWFWI02616 (EN22040-T07): Individual Sample (Biology, plant - Larix laricina) 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); Productivity; Precipitation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008909297,0.001769545,0.001425682,0.008599117,0.001761237,0.002023651,0.002503244,0.001379217,0.1645551],"category_scores_gemma":[0.003341614,0.0008833396,0.000697508,0.0193234,0.0005413056,0.001045159,0.002206797,0.0007543949,0.1528215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171944,"about_ca_system_score_gemma":0.007095599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2050343,"about_ca_topic_score_gemma":0.2947885,"domain_scores_codex":[0.9989265,0.00004845866,0.0001333101,0.0003155908,0.0002524021,0.0003237203],"domain_scores_gemma":[0.9977009,0.0001867886,0.000234509,0.0005714266,0.001028476,0.0002779066],"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":[0.0001862195,0.00003158309,0.0060173,0.001160565,0.0000634837,0.0001161797,0.0004953498,0.0001573904,0.001394553,0.001203086,0.9751315,0.01404276],"study_design_scores_gemma":[0.00005436664,0.00001255737,0.0319344,0.0002207313,0.00006441518,0.0001031677,0.0003598649,0.00006117638,0.0005614011,0.0005200739,0.9660823,0.00002547273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009279528,0.00005125874,0.0002374979,0.00001961038,0.00002126177,0.00002640998,0.9932778,0.0003986974,0.005039345],"genre_scores_gemma":[0.001229856,0.00006268403,0.0006080886,0.00002779431,0.000004773874,0.00009574804,0.9928764,0.0004624643,0.004632073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8354449,"threshold_uncertainty_score":0.5504916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03605611583082995,"score_gpt":0.2805319582829422,"score_spread":0.2444758424521122,"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."}}