{"id":"W6887150291","doi":"10.15468/dl.nzanbh","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); Upload","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":[0.0009663974,0.001937228,0.001637726,0.005262754,0.0009889172,0.002679743,0.002777581,0.00208376,0.1769016],"category_scores_gemma":[0.006091664,0.0009301676,0.001100563,0.01049274,0.0004569969,0.002382236,0.002576472,0.001983783,0.232487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015199,"about_ca_system_score_gemma":0.002332638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01966893,"about_ca_topic_score_gemma":0.03368039,"domain_scores_codex":[0.9989892,0.0001375025,0.0001308326,0.0003553572,0.000219023,0.0001681243],"domain_scores_gemma":[0.9974253,0.0007656146,0.0002461826,0.0006607221,0.000607018,0.0002953098],"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":[0.00002915254,0.00001108834,0.0003682193,0.0006034466,0.00001483455,0.00001651738,0.00002646515,0.0001261188,0.0001219993,0.0004147588,0.9968634,0.001403901],"study_design_scores_gemma":[0.00006822701,0.000007126313,0.001651322,0.0001906496,0.00001307783,0.00003466273,0.00007356823,0.0001257448,0.0001678449,0.0007676007,0.996883,0.00001706282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003766497,0.00002445385,0.00004298038,0.00003122339,0.00001057949,0.000004779908,0.9988847,0.0003351997,0.000628361],"genre_scores_gemma":[0.0001644162,0.00003374778,0.0002042338,0.00004290828,0.000003470042,0.00004273672,0.9988568,0.0001595301,0.0004922904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8230984,"threshold_uncertainty_score":0.5917947,"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."}}