{"id":"W6905852389","doi":"10.15468/dl.nn9dst","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); Set (abstract data type); Data set","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":[0.001184857,0.002033895,0.001781835,0.00541839,0.001099344,0.00299746,0.00313288,0.002076698,0.1852169],"category_scores_gemma":[0.006913843,0.001036165,0.001259144,0.01100591,0.0004835597,0.002444533,0.002825417,0.002148196,0.2428527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658594,"about_ca_system_score_gemma":0.002583354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256083,"about_ca_topic_score_gemma":0.03605701,"domain_scores_codex":[0.9988254,0.0001563802,0.0001561355,0.0004075414,0.0002658144,0.0001888634],"domain_scores_gemma":[0.9971601,0.00083903,0.0002567096,0.0007548109,0.0006766688,0.0003127678],"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":[0.00002848194,0.0000104555,0.0003397473,0.0005903072,0.00001633893,0.00001465079,0.00002588158,0.0001089526,0.0001180987,0.0003991124,0.997017,0.001330867],"study_design_scores_gemma":[0.00006617921,0.000007035002,0.001621912,0.0001973961,0.00001534893,0.0000351328,0.00007487497,0.0001189803,0.0001818125,0.0007526726,0.9969111,0.00001757911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000339535,0.00002516633,0.00004487059,0.00003191703,0.00001075588,0.000004890911,0.9988662,0.0003759704,0.0006062333],"genre_scores_gemma":[0.0001426819,0.00003319991,0.00018861,0.00004049145,0.00000302185,0.00004204293,0.9989374,0.000174535,0.0004378627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8147832,"threshold_uncertainty_score":0.6196121,"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."}}