{"id":"W6887146069","doi":"10.15468/dl.qk9hwx","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); Data set; 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":[0.001032532,0.0020682,0.00169125,0.00509503,0.001024987,0.002710745,0.002933336,0.002246944,0.1703206],"category_scores_gemma":[0.006336717,0.0009638898,0.001216374,0.009555865,0.0004591002,0.002483657,0.002667566,0.002101146,0.2217752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544371,"about_ca_system_score_gemma":0.002350202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968557,"about_ca_topic_score_gemma":0.0337101,"domain_scores_codex":[0.998913,0.0001534164,0.0001378405,0.0003890652,0.0002286445,0.0001779668],"domain_scores_gemma":[0.9973699,0.0007889163,0.0002481458,0.0006855308,0.0005912701,0.0003162385],"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":[0.0000307386,0.0000116873,0.0003572125,0.0005656218,0.0000150553,0.00001562001,0.00002340047,0.000117759,0.0001088825,0.0003659894,0.9971226,0.001265459],"study_design_scores_gemma":[0.0000837782,0.000008811794,0.0018526,0.0002045482,0.00001519895,0.00004059301,0.00007221492,0.0001504841,0.0001805574,0.0008352001,0.9965366,0.00001935885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003994074,0.00002731023,0.0000438475,0.00003590331,0.0000115638,0.000005299496,0.9988496,0.0003868788,0.0005995269],"genre_scores_gemma":[0.0001630616,0.00003299324,0.0001965287,0.00004872083,0.00000359242,0.00004361551,0.9989005,0.0001559284,0.0004550123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296794,"threshold_uncertainty_score":0.5697793,"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."}}