{"id":"W6943704771","doi":"10.15468/dl.wvt8td","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); Confidentiality; Data set","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":[0.0008598427,0.001870745,0.001453063,0.004968686,0.001054584,0.002888028,0.002771584,0.001992825,0.1672955],"category_scores_gemma":[0.006220367,0.0008977639,0.001231523,0.01064839,0.0004052136,0.002541089,0.0026528,0.001953118,0.2380214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582179,"about_ca_system_score_gemma":0.002328588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015648,"about_ca_topic_score_gemma":0.03277378,"domain_scores_codex":[0.9988959,0.0001396646,0.00014869,0.0003905868,0.0002481626,0.0001769085],"domain_scores_gemma":[0.997582,0.0006446,0.000211025,0.0006505599,0.0006571572,0.0002547256],"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":[0.00002844358,0.00001070844,0.0004137054,0.0005418533,0.00001361289,0.00001598946,0.00002478762,0.0001269652,0.000104864,0.0003912934,0.9964665,0.001861102],"study_design_scores_gemma":[0.00005290701,0.000007225529,0.00157435,0.0001720361,0.00001182812,0.00003816404,0.00008381892,0.0001700521,0.0001722711,0.0007593608,0.9969421,0.00001593053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004721809,0.00003003558,0.00005827271,0.00004156702,0.00001392329,0.000005490565,0.9985172,0.0004753502,0.0008109177],"genre_scores_gemma":[0.0001788334,0.00003771684,0.0002508893,0.00004776967,0.000003911056,0.00004033076,0.9986971,0.0001631934,0.000580296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327045,"threshold_uncertainty_score":0.5596591,"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."}}