{"id":"W6962115168","doi":"10.15468/dl.xb4cp7","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":"Matching (statistics); Download; Range (aeronautics); 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":[0.0009764322,0.002078481,0.001609405,0.005177973,0.0009786633,0.002703052,0.002733979,0.001862084,0.1708636],"category_scores_gemma":[0.00619508,0.0009732224,0.001222404,0.01036903,0.00042168,0.002446604,0.00267905,0.001936048,0.2354224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518421,"about_ca_system_score_gemma":0.002369195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022174,"about_ca_topic_score_gemma":0.03450362,"domain_scores_codex":[0.9988492,0.000160489,0.0001534367,0.0004094066,0.0002428292,0.0001846298],"domain_scores_gemma":[0.9973328,0.00072423,0.0002505377,0.0007058984,0.0006803783,0.0003062137],"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":[0.00003222074,0.00001031982,0.0003395989,0.0005289643,0.00001462365,0.00001289602,0.00002013712,0.0001094019,0.0001064057,0.0003692498,0.9970585,0.00139778],"study_design_scores_gemma":[0.00006745879,0.000008258601,0.001583977,0.0001674373,0.00001371513,0.00003161067,0.00005670489,0.0001210817,0.0001620085,0.0007900508,0.9969804,0.00001724064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003471539,0.00002539442,0.00003948397,0.00003186338,0.00001135158,0.000004727503,0.9989004,0.0003302587,0.0006217379],"genre_scores_gemma":[0.0001421229,0.00003615482,0.0001924962,0.00005111363,0.000003824779,0.00004076525,0.9988514,0.0001494535,0.000532699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8291364,"threshold_uncertainty_score":0.5715957,"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."}}