{"id":"W6943009184","doi":"10.15468/dl.3pn6pc","title":"Occurrence Download","year":2023,"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); Data set; Software","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":[0.0009726844,0.002002435,0.00160334,0.005338798,0.001060404,0.00264818,0.002910253,0.00202393,0.1541255],"category_scores_gemma":[0.005796692,0.0009375428,0.001189811,0.01103451,0.0004713341,0.002279848,0.002562194,0.002055228,0.2058907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829358,"about_ca_system_score_gemma":0.002869869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03336888,"about_ca_topic_score_gemma":0.05336924,"domain_scores_codex":[0.9989111,0.0001394414,0.0001403581,0.000370112,0.0002508062,0.0001881795],"domain_scores_gemma":[0.9974033,0.0007035288,0.000238964,0.0006893327,0.000650584,0.0003141761],"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":[0.00002834308,0.00001071861,0.0003588131,0.0004833038,0.00001445524,0.00001543778,0.00002405898,0.0001167092,0.0001136988,0.0004025525,0.9971657,0.001266174],"study_design_scores_gemma":[0.00006795864,0.000006912829,0.001900128,0.000174839,0.00001355024,0.00003849575,0.000072959,0.0001288527,0.0001832649,0.0007051263,0.9966896,0.00001842734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003864388,0.00002338324,0.00003783386,0.00003233199,0.00001009576,0.000004645935,0.9989271,0.0003387982,0.0005871287],"genre_scores_gemma":[0.0001459641,0.00002970077,0.0001642342,0.00003874808,0.00000278428,0.00003310025,0.9990467,0.0001288357,0.0004098877],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8458745,"threshold_uncertainty_score":0.5156012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}