{"id":"W6906061921","doi":"10.15468/dl.khj4qn","title":"Occurrence Download","year":2023,"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); Range (aeronautics); Data access","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":[0.0009304615,0.002054284,0.001615805,0.004654482,0.0009884763,0.002449511,0.002857568,0.002142787,0.1460268],"category_scores_gemma":[0.00557397,0.00090314,0.001281414,0.009199698,0.0004598559,0.002258123,0.002618549,0.002010303,0.2108384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630634,"about_ca_system_score_gemma":0.002297764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292304,"about_ca_topic_score_gemma":0.03677758,"domain_scores_codex":[0.9990158,0.0001268717,0.0001242747,0.0003419471,0.0002226516,0.000168307],"domain_scores_gemma":[0.9978041,0.0005988302,0.000208059,0.000601408,0.0005295358,0.0002580264],"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":[0.00003120249,0.00001175145,0.0004150045,0.0005464207,0.00001613979,0.00001622571,0.00002624853,0.0001429077,0.0001376397,0.000389555,0.9967703,0.0014966],"study_design_scores_gemma":[0.00007410847,0.000008413803,0.001942415,0.0001884416,0.00001510773,0.00003985822,0.00007569101,0.0001720162,0.0002117324,0.0007456595,0.9965085,0.00001808871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004486776,0.00002624376,0.00004647762,0.00003448329,0.00001228091,0.000005078636,0.9988068,0.0004245157,0.0005992239],"genre_scores_gemma":[0.0001632772,0.00002994845,0.0001979998,0.00004125227,0.000003147396,0.000037474,0.9989676,0.0001496605,0.0004096532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8539732,"threshold_uncertainty_score":0.4885083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}