{"id":"W6887034257","doi":"10.15468/dl.ncnntd","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); Column (typography); State (computer science)","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":[0.001008825,0.002008095,0.001650532,0.005091,0.001012055,0.002650668,0.002891887,0.002054919,0.1703301],"category_scores_gemma":[0.005810771,0.0009311457,0.001139188,0.009958227,0.0004568855,0.002398013,0.002623509,0.00208053,0.2433245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518838,"about_ca_system_score_gemma":0.002267033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863198,"about_ca_topic_score_gemma":0.03216367,"domain_scores_codex":[0.9989803,0.0001381323,0.0001268877,0.000364312,0.0002231352,0.0001672273],"domain_scores_gemma":[0.9975849,0.0006658923,0.0002313994,0.000641407,0.0005850245,0.0002913792],"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":[0.00002771523,0.00001108415,0.0003270484,0.0005218372,0.00001379962,0.00001382316,0.00002217802,0.0001110728,0.0001168447,0.0003643072,0.9971315,0.00133884],"study_design_scores_gemma":[0.00007056987,0.000007241897,0.001604516,0.0001778314,0.0000127155,0.00003320799,0.00006605533,0.0001250736,0.0001802696,0.0007346253,0.9969712,0.00001649826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003785994,0.00002543821,0.00004289353,0.00003166748,0.00001096591,0.000004950789,0.9988666,0.0003403348,0.0006394546],"genre_scores_gemma":[0.0001495619,0.00003143382,0.0001886884,0.0000425455,0.000003395627,0.00004078385,0.9989165,0.000147715,0.0004793141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296699,"threshold_uncertainty_score":0.569811,"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."}}