{"id":"W6962109294","doi":"10.15468/dl.yr3xws","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leymus; Weed; Nematology; Lupinus","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":[0.0006742367,0.002485243,0.001969835,0.006310781,0.001351026,0.003457525,0.002624164,0.0025754,0.218366],"category_scores_gemma":[0.005282015,0.0008025553,0.001625314,0.009690763,0.000369147,0.003710673,0.003252567,0.002115079,0.3399999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772245,"about_ca_system_score_gemma":0.002198162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126531,"about_ca_topic_score_gemma":0.04018746,"domain_scores_codex":[0.9989375,0.0001142458,0.000149847,0.000364655,0.0002486693,0.0001850826],"domain_scores_gemma":[0.998008,0.0004455595,0.0001592172,0.0004587008,0.0006562639,0.0002723931],"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":[0.00005166849,0.00001696548,0.0004733709,0.0006710534,0.00001456508,0.0000348117,0.00002491453,0.0001117656,0.0001567307,0.0004616842,0.9946048,0.003377685],"study_design_scores_gemma":[0.00006133189,0.00001435193,0.001627078,0.0001970834,0.00001481319,0.00007480777,0.00009532202,0.0003322953,0.0001856544,0.001023864,0.9963537,0.00001965182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000106117,0.000108224,0.0001223637,0.0000906235,0.00003523588,0.00001311247,0.9955591,0.001598322,0.002366923],"genre_scores_gemma":[0.000303275,0.00008373042,0.0004312406,0.0000931243,0.000009795573,0.00004065204,0.9976062,0.000251609,0.001180401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.781634,"threshold_uncertainty_score":0.730507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02828254844900556,"score_gpt":0.1989560113928329,"score_spread":0.1706734629438273,"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."}}