{"id":"W6906022820","doi":"10.15468/dl.z6nnex","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); 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":[0.0009914775,0.001990693,0.001557521,0.004753855,0.001066319,0.002576523,0.002846133,0.002184455,0.166708],"category_scores_gemma":[0.006207063,0.0009010698,0.001311687,0.008654837,0.0004590805,0.002458079,0.002588227,0.002039915,0.2288635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558699,"about_ca_system_score_gemma":0.002282433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213593,"about_ca_topic_score_gemma":0.03527254,"domain_scores_codex":[0.9989937,0.0001430449,0.0001190096,0.0003589645,0.0002200706,0.000165286],"domain_scores_gemma":[0.9975044,0.0007407766,0.0001988043,0.0006608719,0.000621304,0.0002737746],"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":[0.00002734798,0.00001213393,0.0003553061,0.0004853627,0.00001295662,0.00001539081,0.00002191428,0.0001144417,0.0001106376,0.0003280136,0.9971323,0.001384207],"study_design_scores_gemma":[0.00007523601,0.000009749833,0.001909223,0.000202486,0.00001457486,0.00004060192,0.0000837445,0.0001831946,0.0001987541,0.0008111286,0.9964521,0.000019193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004861763,0.00003065594,0.00005110418,0.00004747424,0.00001570767,0.000007058435,0.9986058,0.0004798562,0.0007137546],"genre_scores_gemma":[0.0001776921,0.00003507765,0.0002237366,0.00005447491,0.000004340475,0.00005084695,0.9987779,0.0001651534,0.0005107866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.833292,"threshold_uncertainty_score":0.5576938,"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."}}