{"id":"W6900603304","doi":"10.60510/awfwi02436","title":"IGSN AWFWI02436 (EN22021-T33): Individual Sample (Biology, plant - Larix laricina) from Mackenzie Delta (Peel Plain), 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":"Delta; Sample (material); Vegetation (pathology); Hydrology (agriculture); Larch","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":[0.001208566,0.001599,0.001260802,0.008650212,0.001719592,0.00188048,0.00242813,0.001318232,0.2032167],"category_scores_gemma":[0.004257885,0.000925101,0.0006009028,0.01730391,0.0004569714,0.0008959698,0.001962001,0.0009605446,0.1943564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001974082,"about_ca_system_score_gemma":0.006438246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2371879,"about_ca_topic_score_gemma":0.3141451,"domain_scores_codex":[0.9989399,0.00006582557,0.0001118869,0.0002826053,0.0003193721,0.0002803852],"domain_scores_gemma":[0.9972319,0.0003102257,0.0002902069,0.0006121574,0.001162838,0.0003926597],"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":[0.0000892348,0.00001878606,0.002257197,0.0003894933,0.00001948001,0.00004135017,0.0001784464,0.00008038001,0.0005135894,0.0006273733,0.9875162,0.008268489],"study_design_scores_gemma":[0.00005100206,0.000009306093,0.01904338,0.0001966486,0.00002993879,0.00006151506,0.0001799513,0.00005728522,0.0004594191,0.0004375312,0.9794559,0.00001819586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005187263,0.00003547006,0.0002281325,0.00002394106,0.00002233456,0.00002731885,0.9922709,0.0003299746,0.006543085],"genre_scores_gemma":[0.0007752046,0.00006243792,0.0007993387,0.00004286829,0.000009015527,0.0001471454,0.9893234,0.0004988628,0.008341682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7628121,"threshold_uncertainty_score":0.6798275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998977330780687,"score_gpt":0.2668407916945906,"score_spread":0.2368510183867837,"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."}}