{"id":"W6905948382","doi":"10.15468/dl.y6j73n","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009136269,0.001894788,0.001581752,0.00497405,0.001055009,0.002961985,0.002744405,0.001894759,0.1863828],"category_scores_gemma":[0.0062098,0.0009170391,0.00135015,0.009773607,0.0004114657,0.002593598,0.002802239,0.001942922,0.2784157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405268,"about_ca_system_score_gemma":0.002318776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956619,"about_ca_topic_score_gemma":0.03139808,"domain_scores_codex":[0.9988781,0.0001387871,0.000139836,0.0004008377,0.0002473459,0.0001952059],"domain_scores_gemma":[0.9974532,0.0006548572,0.0002070612,0.0007323645,0.0006852953,0.0002673682],"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":[0.00002941425,0.000009936094,0.0004280522,0.0004986671,0.00001477393,0.00001644377,0.00002561715,0.000132491,0.0001219353,0.0003851332,0.9963372,0.002000282],"study_design_scores_gemma":[0.00005017449,0.000007093186,0.001643442,0.0001544988,0.00001225083,0.00003518631,0.00007787492,0.0001700452,0.0001773187,0.0007628414,0.9968928,0.00001659448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004996559,0.00003242723,0.00007014591,0.00004509123,0.00001861356,0.000006150853,0.9982038,0.0006967092,0.0008771446],"genre_scores_gemma":[0.0001894989,0.00004046005,0.0002730518,0.00005127757,0.00000497532,0.00004335657,0.9985103,0.0002419193,0.0006451177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8136172,"threshold_uncertainty_score":0.6235126,"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."}}