{"id":"W6943681820","doi":"10.15468/dl.u7zedw","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); Data set; 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":[0.001145096,0.002057465,0.001692527,0.005381504,0.001142742,0.002929661,0.003039771,0.002110767,0.1835817],"category_scores_gemma":[0.006628178,0.001028738,0.001213919,0.01057018,0.0004784532,0.002557569,0.002780837,0.002183145,0.2547966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694438,"about_ca_system_score_gemma":0.002542183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325358,"about_ca_topic_score_gemma":0.03829786,"domain_scores_codex":[0.9988042,0.0001582872,0.0001518797,0.0004191581,0.0002711944,0.000195193],"domain_scores_gemma":[0.9972273,0.0007943747,0.0002493066,0.0007344934,0.0006766376,0.0003178728],"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":[0.000025964,0.000009521973,0.0003087938,0.0004751484,0.00001329967,0.00001316208,0.00002290926,0.00009902981,0.0001034828,0.0003810333,0.9973013,0.001246404],"study_design_scores_gemma":[0.00006074685,0.00000640388,0.001512469,0.0001780673,0.00001316575,0.00003281969,0.00006742737,0.0001178289,0.0001696848,0.0007556374,0.9970692,0.0000167184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003178828,0.00002279439,0.00004622257,0.0000318949,0.00001134873,0.000004582301,0.9988249,0.0003693867,0.0006571134],"genre_scores_gemma":[0.0001305304,0.00003114222,0.000191,0.00004262006,0.000003205914,0.0000377478,0.99889,0.0001804452,0.0004933617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8164183,"threshold_uncertainty_score":0.6141418,"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."}}