{"id":"W6924813744","doi":"10.15468/dl.x73q9x","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; The Internet","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":[0.000996649,0.00191799,0.001540192,0.004500825,0.001033753,0.002497407,0.002739063,0.002133172,0.158091],"category_scores_gemma":[0.00606734,0.0009081219,0.001268252,0.0085412,0.0004533136,0.002427457,0.002592937,0.002018858,0.220411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513835,"about_ca_system_score_gemma":0.002273104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142748,"about_ca_topic_score_gemma":0.03468798,"domain_scores_codex":[0.9989936,0.0001443446,0.0001232832,0.0003547039,0.0002178091,0.0001662764],"domain_scores_gemma":[0.9974329,0.0007482397,0.0002170454,0.0007045282,0.0006063323,0.0002911196],"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":[0.00002831368,0.00001221965,0.0003589511,0.0004736461,0.00001272309,0.00001428568,0.00002247487,0.0001197836,0.0001086922,0.0003389374,0.9971494,0.001360468],"study_design_scores_gemma":[0.00007857213,0.0000101302,0.002026288,0.0001951654,0.00001395237,0.00003934383,0.00008298278,0.0001825638,0.0002001605,0.0007981249,0.9963541,0.00001863689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000513249,0.00002819113,0.00005108903,0.00004561998,0.00001532095,0.000006706864,0.9986421,0.0004836076,0.0006759699],"genre_scores_gemma":[0.0001730978,0.00003321092,0.0002127703,0.00005200835,0.000004023658,0.0000470611,0.9988315,0.0001594068,0.0004869329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.841909,"threshold_uncertainty_score":0.5288671,"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."}}