{"id":"W6887178583","doi":"10.15468/dl.t8ebx7","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); Alien; Species name","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":[0.0009915546,0.001840411,0.001543277,0.004514415,0.0009631563,0.002430042,0.002630973,0.00208019,0.1451972],"category_scores_gemma":[0.005898635,0.0008621258,0.001227075,0.008712628,0.0004431245,0.002228693,0.002506553,0.001890667,0.2049865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464417,"about_ca_system_score_gemma":0.002159019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01897499,"about_ca_topic_score_gemma":0.02973058,"domain_scores_codex":[0.999019,0.0001368895,0.0001276327,0.0003437763,0.0002123237,0.0001603342],"domain_scores_gemma":[0.9975551,0.0007209484,0.0002246852,0.0006445906,0.0005803698,0.000274506],"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":[0.00003050513,0.00001267237,0.0004287295,0.0005772692,0.000015391,0.00001688225,0.00002457621,0.000137122,0.0001334299,0.0003598409,0.9967558,0.001507801],"study_design_scores_gemma":[0.0000839459,0.00001060837,0.002244537,0.0002198723,0.00001620862,0.00004282531,0.00008453323,0.0001854451,0.0002165874,0.0007593628,0.9961174,0.00001877615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005255681,0.00003055204,0.00004618344,0.00004296223,0.00001419434,0.000006218838,0.9987943,0.0004058449,0.0006071712],"genre_scores_gemma":[0.0001876746,0.00003716136,0.0002050988,0.00005145238,0.00000402571,0.00004816129,0.9988717,0.000138619,0.0004560433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8548028,"threshold_uncertainty_score":0.485733,"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."}}