{"id":"W6924245833","doi":"10.15468/dl.k25tjs","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); Confidentiality","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":[0.0009826636,0.001934344,0.001577195,0.004947958,0.00102798,0.002514269,0.002808948,0.002115306,0.1440561],"category_scores_gemma":[0.005719745,0.0008915004,0.001192387,0.009637889,0.0004636388,0.002170673,0.00259523,0.002020382,0.2056798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499014,"about_ca_system_score_gemma":0.002296551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194732,"about_ca_topic_score_gemma":0.03252769,"domain_scores_codex":[0.9989662,0.000137075,0.000130478,0.0003591056,0.0002326448,0.0001743534],"domain_scores_gemma":[0.9977059,0.0006308479,0.000217387,0.0006296443,0.0005452259,0.0002710701],"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":[0.00003150517,0.0000125159,0.0004357976,0.0005784204,0.00001642989,0.00001734558,0.00002763815,0.0001414828,0.0001516127,0.000421277,0.9966285,0.001537455],"study_design_scores_gemma":[0.0000678275,0.000008280555,0.001898432,0.0001874057,0.00001479286,0.0000403648,0.00007664051,0.0001446239,0.0002076601,0.0007141675,0.9966226,0.00001733883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004992625,0.0000307574,0.00004649938,0.00003683231,0.00001348182,0.000005214255,0.9987971,0.0003776953,0.0006424394],"genre_scores_gemma":[0.0001670033,0.00003272388,0.000193516,0.00004101797,0.000003310351,0.00003838519,0.9989434,0.0001376467,0.0004430945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8559439,"threshold_uncertainty_score":0.4819157,"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."}}