{"id":"W4395520242","doi":"10.15468/dl.26nx9b","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; Operating system","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":[0.001050134,0.001908634,0.001561761,0.004739866,0.0009837075,0.002661827,0.002842368,0.002040209,0.1733571],"category_scores_gemma":[0.006251509,0.0009614167,0.001131441,0.009419488,0.0004434946,0.002267332,0.002406567,0.002095495,0.2257458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664814,"about_ca_system_score_gemma":0.00237434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371004,"about_ca_topic_score_gemma":0.03860512,"domain_scores_codex":[0.9989436,0.0001425581,0.0001352496,0.0003682122,0.0002416278,0.000168723],"domain_scores_gemma":[0.9974684,0.0007471507,0.0002329077,0.0006288826,0.0006279891,0.0002946977],"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":[0.00002545198,0.00001020332,0.0003365085,0.0004416549,0.00001319647,0.00001356565,0.00002116422,0.0001117747,0.00008972528,0.0003590219,0.9974343,0.001143363],"study_design_scores_gemma":[0.00007915442,0.000006602964,0.001762847,0.0001674199,0.00001321474,0.00003290465,0.00006545131,0.0001613044,0.0001686017,0.0007493388,0.996777,0.00001608385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003457811,0.00001988874,0.00004173371,0.00003237396,0.000009368907,0.000004718388,0.9989139,0.0003389434,0.0006045045],"genre_scores_gemma":[0.0001551289,0.00002891055,0.0001852081,0.00004220964,0.000003215529,0.00004150957,0.9989208,0.0001608319,0.0004623603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8266429,"threshold_uncertainty_score":0.5799372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}