{"id":"W6905985080","doi":"10.15468/dl.ndtgwa","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":[0.0009358333,0.001930762,0.001533451,0.004825344,0.001060401,0.002547887,0.00274049,0.002098624,0.1773887],"category_scores_gemma":[0.006010742,0.000866409,0.001237051,0.009108152,0.0004576633,0.002555111,0.002708243,0.002035732,0.2528192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514472,"about_ca_system_score_gemma":0.002282016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02067248,"about_ca_topic_score_gemma":0.03561581,"domain_scores_codex":[0.9990061,0.0001406056,0.0001162409,0.0003574425,0.0002139201,0.0001657523],"domain_scores_gemma":[0.9974348,0.0007225323,0.000212609,0.0007010789,0.0006476911,0.0002813797],"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":[0.00002536601,0.00001084394,0.0003482623,0.0004795804,0.00001139289,0.00001394143,0.00002338037,0.0001089666,0.0001033384,0.0003419654,0.9970572,0.001475736],"study_design_scores_gemma":[0.0000577803,0.000007685972,0.001520047,0.0001814707,0.00001132483,0.00003156404,0.00007474647,0.0001442229,0.0001645402,0.0007722898,0.9970185,0.0000158468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004681596,0.0000296206,0.00005149619,0.00004430282,0.00001514175,0.000006398229,0.998513,0.0004996818,0.0007933902],"genre_scores_gemma":[0.0001682492,0.00003630985,0.0002402473,0.00005451726,0.000004269043,0.00004846475,0.9986863,0.0001960639,0.0005656644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8226113,"threshold_uncertainty_score":0.5934244,"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."}}