{"id":"W6905943485","doi":"10.15468/dl.uqffed","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); Alien; Range (aeronautics); 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":[0.001018654,0.00194343,0.001548787,0.004823332,0.001020208,0.002599213,0.002696449,0.002126715,0.1599581],"category_scores_gemma":[0.006103483,0.0008754706,0.001265121,0.009166049,0.0004376209,0.002355108,0.002550203,0.001926925,0.2309944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488136,"about_ca_system_score_gemma":0.002199533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194094,"about_ca_topic_score_gemma":0.03105125,"domain_scores_codex":[0.9989648,0.0001483668,0.0001324304,0.0003645001,0.0002221688,0.0001677421],"domain_scores_gemma":[0.9975293,0.0007291356,0.0002080267,0.000636898,0.0006303622,0.0002663101],"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":[0.00002776306,0.000012244,0.0003969907,0.0005305386,0.00001416379,0.00001528684,0.0000223974,0.0001182852,0.0001124212,0.0003324751,0.9969093,0.001508079],"study_design_scores_gemma":[0.00007108473,0.000009433471,0.001959532,0.0002127081,0.000014719,0.0000380707,0.0000814237,0.0001716931,0.00019277,0.0007646131,0.996466,0.00001802458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004744398,0.00003129582,0.00004734478,0.00004215432,0.0000146178,0.00000628784,0.9987263,0.0004118828,0.000672622],"genre_scores_gemma":[0.0001722398,0.00003583187,0.0002056263,0.00005087697,0.000004216097,0.00004664923,0.9988559,0.0001475298,0.0004810854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8400419,"threshold_uncertainty_score":0.535113,"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."}}