{"id":"W6961712655","doi":"10.15468/dl.kvk2e3","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); State (computer science); Order (exchange)","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":[0.001101571,0.001978759,0.001666516,0.005267489,0.001089705,0.002879058,0.003041309,0.002086631,0.1834832],"category_scores_gemma":[0.006656702,0.001010794,0.001185552,0.01038823,0.0004656867,0.002487688,0.002752479,0.002093585,0.2450777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603488,"about_ca_system_score_gemma":0.00242343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02171659,"about_ca_topic_score_gemma":0.03496432,"domain_scores_codex":[0.9988619,0.0001497985,0.000147748,0.0004009815,0.0002551943,0.0001843661],"domain_scores_gemma":[0.9973894,0.0007611915,0.0002362389,0.0006887678,0.000630037,0.0002944109],"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":[0.00002638935,0.000009707701,0.0003200558,0.0004839499,0.00001388603,0.00001404997,0.00002331823,0.0001051779,0.0001033094,0.0003914027,0.9972269,0.001281831],"study_design_scores_gemma":[0.00006279939,0.000006331658,0.001477306,0.0001812671,0.00001361507,0.00003461856,0.00006863927,0.000127629,0.0001713758,0.0007941608,0.9970456,0.00001670857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003392755,0.00002372907,0.00004809209,0.00003400909,0.00001143994,0.000004778326,0.9987864,0.0003814801,0.0006762032],"genre_scores_gemma":[0.0001465339,0.00003250801,0.0001991441,0.00004505669,0.000003348985,0.00004018447,0.9988509,0.000184752,0.0004975979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8165168,"threshold_uncertainty_score":0.6138125,"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."}}