{"id":"W6943558283","doi":"10.15468/dl.ma7eb5","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); Alien; The Internet","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":[0.001014889,0.002026978,0.001574471,0.004854544,0.001024468,0.002634791,0.002755282,0.002174917,0.1601994],"category_scores_gemma":[0.006378331,0.0008997529,0.001296258,0.009173474,0.0004557384,0.002395963,0.002628931,0.001983582,0.2276131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570417,"about_ca_system_score_gemma":0.002360851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267795,"about_ca_topic_score_gemma":0.03504936,"domain_scores_codex":[0.9989346,0.0001528921,0.0001319055,0.000375419,0.0002304019,0.0001747327],"domain_scores_gemma":[0.9973447,0.0007863159,0.000225318,0.0007080593,0.0006467234,0.0002889227],"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":[0.00002833367,0.00001200312,0.000395234,0.0005234392,0.00001397201,0.00001519152,0.00002331125,0.0001275521,0.0001042555,0.0003390853,0.9970441,0.001373574],"study_design_scores_gemma":[0.00007760176,0.00000982054,0.00196965,0.0002112924,0.00001501576,0.00003907513,0.00008407018,0.0001839194,0.0001927666,0.0008176923,0.9963799,0.00001904328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004563602,0.00002824863,0.00004458967,0.00004265136,0.00001378052,0.000005968553,0.9987619,0.0004359646,0.0006212652],"genre_scores_gemma":[0.0001690828,0.00003437948,0.000196904,0.00005157743,0.000004015546,0.00004509359,0.9988683,0.0001541681,0.0004764168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8398006,"threshold_uncertainty_score":0.5359204,"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."}}