{"id":"W6905864565","doi":"10.15468/dl.uugnbw","title":"Occurrence Download","year":2022,"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 set; 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":[0.0009542584,0.00201777,0.00161958,0.004973045,0.0009365496,0.00261364,0.002736414,0.001994357,0.1735273],"category_scores_gemma":[0.005840883,0.0009161133,0.001141612,0.009713993,0.0004284287,0.00221716,0.002529187,0.001882209,0.2324707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417908,"about_ca_system_score_gemma":0.002212148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0189647,"about_ca_topic_score_gemma":0.03141763,"domain_scores_codex":[0.9990576,0.0001268504,0.0001209456,0.0003336533,0.0001990326,0.0001619533],"domain_scores_gemma":[0.9976846,0.000673149,0.0002253305,0.0005915553,0.0005489107,0.0002763778],"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":[0.00003194281,0.00001138754,0.0003957761,0.0006020973,0.00001622647,0.0000163234,0.00002399897,0.0001312542,0.0001230206,0.0003727631,0.9968485,0.001426566],"study_design_scores_gemma":[0.00008175494,0.000008836769,0.001957095,0.0002070432,0.00001614589,0.00003853251,0.00007223695,0.0001554916,0.0001963214,0.0008366565,0.996411,0.00001887865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003731498,0.0000235629,0.00003985322,0.00002885715,0.00001016703,0.000004668705,0.9989581,0.0003454419,0.0005520085],"genre_scores_gemma":[0.0001613724,0.0000310748,0.0001829064,0.00004114269,0.000003599262,0.00004136261,0.9989618,0.0001452908,0.0004314399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8264727,"threshold_uncertainty_score":0.5805066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}