{"id":"W6943134286","doi":"10.15468/dl.mdd4mz","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":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type)","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":[0.0009129886,0.00202126,0.001588354,0.005082737,0.0009302921,0.002550939,0.002708974,0.001871035,0.1588247],"category_scores_gemma":[0.00562508,0.0009325467,0.001184877,0.009785783,0.0004118135,0.002271947,0.002504337,0.001857423,0.2141753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490983,"about_ca_system_score_gemma":0.002249509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903173,"about_ca_topic_score_gemma":0.03284579,"domain_scores_codex":[0.998917,0.0001452526,0.0001415607,0.000389903,0.0002277366,0.0001785642],"domain_scores_gemma":[0.9976197,0.0006446628,0.0002354472,0.0006193253,0.0005982402,0.0002826352],"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":[0.00003797099,0.00001207064,0.0004130926,0.0006011382,0.0000166171,0.00001514866,0.00002110053,0.0001276364,0.0001345223,0.0003945881,0.9966962,0.001529816],"study_design_scores_gemma":[0.00007788691,0.000009506511,0.001883257,0.00018223,0.0000154987,0.00003729351,0.00005934401,0.0001459323,0.0001877799,0.0007981596,0.9965843,0.00001870199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004035686,0.00002603208,0.00003875721,0.00002938859,0.00001042486,0.000004774319,0.9989069,0.0003353273,0.0006080323],"genre_scores_gemma":[0.0001513448,0.00003332508,0.0001835421,0.00004562594,0.000003393911,0.00003731239,0.9989536,0.0001311344,0.0004608452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8411753,"threshold_uncertainty_score":0.5313214,"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."}}