{"id":"W6905685495","doi":"10.15468/dl.ky5f5k","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":"Matching (statistics); Download; Range (aeronautics); Alien","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":[0.0009085576,0.002009439,0.001623792,0.005567303,0.0009787332,0.002942456,0.002789308,0.001880489,0.1847971],"category_scores_gemma":[0.006363987,0.0009658966,0.001284254,0.01130035,0.0004108166,0.00249628,0.002645013,0.001873187,0.2624473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649068,"about_ca_system_score_gemma":0.002547902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02067669,"about_ca_topic_score_gemma":0.03421464,"domain_scores_codex":[0.9988483,0.0001521701,0.0001617399,0.000413909,0.0002429465,0.0001809862],"domain_scores_gemma":[0.9975592,0.0006650454,0.0002294774,0.000632351,0.0006564438,0.000257474],"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":[0.00003008369,0.000009108818,0.0003604099,0.0006035428,0.00001423142,0.00001432349,0.00002179228,0.0001053125,0.0001036965,0.0004058407,0.9965484,0.001783338],"study_design_scores_gemma":[0.00004895767,0.000006676272,0.001258,0.0001645595,0.00001255695,0.00003342095,0.00005365172,0.0001135681,0.0001524802,0.0007305348,0.9974107,0.00001491296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003602729,0.00003386895,0.00005211037,0.00003385768,0.0000114278,0.000005096101,0.998579,0.0004595228,0.0007890314],"genre_scores_gemma":[0.000155863,0.00004846305,0.0002384304,0.00005052357,0.000003706675,0.00004207027,0.9986141,0.0001903457,0.0006564722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8152029,"threshold_uncertainty_score":0.6182079,"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."}}