{"id":"W6943325669","doi":"10.15468/dl.9v228j","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009984014,0.002212766,0.001652442,0.005226414,0.001112374,0.002619002,0.003088861,0.001935821,0.1854646],"category_scores_gemma":[0.006162199,0.00104931,0.001227094,0.009256194,0.0004750217,0.002413205,0.002956012,0.002020535,0.247139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885882,"about_ca_system_score_gemma":0.002647173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0295812,"about_ca_topic_score_gemma":0.04712432,"domain_scores_codex":[0.9990169,0.000113948,0.0001136771,0.0003288501,0.0002445049,0.0001821175],"domain_scores_gemma":[0.9976458,0.0006013797,0.0002004602,0.000627432,0.0006447909,0.0002800716],"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":[0.00002561267,0.000009522893,0.0003059321,0.0004456604,0.00001212187,0.00001363136,0.00002298659,0.00009784222,0.0001070784,0.0003611242,0.9971969,0.001401556],"study_design_scores_gemma":[0.00005947148,0.000006467211,0.001529015,0.0001813675,0.0000127005,0.00003454698,0.00006569653,0.0001322485,0.0002026763,0.0006996879,0.9970596,0.00001649821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003512229,0.00002224566,0.00004956576,0.0000301828,0.00001071509,0.000005430591,0.9985564,0.0005446068,0.0007457865],"genre_scores_gemma":[0.0001459725,0.00003021759,0.0002270735,0.00004094042,0.000002808779,0.00004227459,0.9987934,0.0002386896,0.0004786642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8145354,"threshold_uncertainty_score":0.6204408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}