{"id":"W6906172386","doi":"10.15468/dl.pqpvya","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":"Matching (statistics); Alien; Download; Range (aeronautics); Homonym (biology)","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":[0.0009663306,0.002057538,0.00157771,0.004758999,0.0009864268,0.002519131,0.002736112,0.002015175,0.1513353],"category_scores_gemma":[0.006301468,0.0008961962,0.001240385,0.009466463,0.0004390372,0.002125817,0.002467795,0.001881987,0.2063932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527205,"about_ca_system_score_gemma":0.002332001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094963,"about_ca_topic_score_gemma":0.03407246,"domain_scores_codex":[0.9989523,0.0001484593,0.0001316538,0.0003790403,0.0002191223,0.0001693344],"domain_scores_gemma":[0.9976284,0.0007048933,0.0002265524,0.0005911848,0.0005871853,0.0002618902],"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":[0.00003376478,0.00001200709,0.0004001314,0.0005769578,0.00001550134,0.00001499681,0.0000211839,0.0001387008,0.0001176312,0.0003576896,0.9968473,0.001464194],"study_design_scores_gemma":[0.00008514018,0.00001108861,0.001915736,0.0002075272,0.00001623019,0.00003789454,0.0000677792,0.0001769784,0.0001954112,0.0008596193,0.996407,0.00001954195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004507778,0.00002920168,0.00004146076,0.0000363683,0.00001242355,0.000005403175,0.9988649,0.0003783533,0.0005867662],"genre_scores_gemma":[0.0001655979,0.00003551024,0.0002001279,0.00004822011,0.000003689674,0.00004514334,0.9988934,0.0001437593,0.0004644406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486648,"threshold_uncertainty_score":0.506267,"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."}}