{"id":"W6924609547","doi":"10.15468/dl.n4tc2t","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)","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":[0.001177014,0.002022735,0.001663996,0.005365848,0.001073084,0.002853994,0.002969023,0.002087742,0.1869688],"category_scores_gemma":[0.006805778,0.001018535,0.001168818,0.01041885,0.0004717404,0.00245595,0.002706456,0.002105139,0.2499387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710135,"about_ca_system_score_gemma":0.002548157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253626,"about_ca_topic_score_gemma":0.03460529,"domain_scores_codex":[0.998838,0.0001559982,0.0001513653,0.0003997493,0.0002658755,0.0001890695],"domain_scores_gemma":[0.9971138,0.0008370447,0.0002604014,0.000747949,0.0007260693,0.0003147112],"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":[0.00002636376,0.00001009219,0.0003170644,0.0005069503,0.00001405803,0.00001410026,0.00002392471,0.0001049922,0.0001106033,0.0003928225,0.9972169,0.001262127],"study_design_scores_gemma":[0.00006471847,0.000006485004,0.001539732,0.0001778471,0.00001348918,0.00003327925,0.00006762119,0.0001207475,0.000181225,0.000738809,0.9970386,0.00001742416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003094767,0.00002177868,0.00004534274,0.00003240913,0.00001063611,0.000004857604,0.9988556,0.0003591922,0.0006393116],"genre_scores_gemma":[0.0001443272,0.00003165983,0.0001977104,0.00004296987,0.000003263286,0.00004229441,0.9988796,0.0001820133,0.0004762189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8130312,"threshold_uncertainty_score":0.625473,"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."}}