{"id":"W6943146808","doi":"10.15468/dl.n6hno3","title":"Occurrence Download","year":2019,"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); Software; Confidentiality","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":[0.0009099924,0.002012446,0.00160421,0.004857106,0.001104023,0.002620517,0.003003883,0.002131644,0.1611248],"category_scores_gemma":[0.005990509,0.0009337604,0.001189529,0.009475329,0.0004566838,0.002352416,0.002669257,0.002044718,0.2262963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001796866,"about_ca_system_score_gemma":0.002452897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02843194,"about_ca_topic_score_gemma":0.04641079,"domain_scores_codex":[0.9989925,0.0001261137,0.0001223914,0.0003402962,0.0002449695,0.0001736534],"domain_scores_gemma":[0.9977208,0.0006439842,0.0001917538,0.0005768824,0.0006130541,0.000253606],"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":[0.000026769,0.00001093434,0.0003438923,0.0004655835,0.00001240357,0.00001536025,0.00002403135,0.0001068172,0.0001052872,0.0003496896,0.9972165,0.001322738],"study_design_scores_gemma":[0.00007010048,0.00000764237,0.001747945,0.0001962338,0.00001366036,0.00003960375,0.0000855898,0.0001695226,0.0002084285,0.0007361304,0.9967071,0.00001806809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004444973,0.00002848711,0.000049285,0.00003906778,0.0000120547,0.00000568438,0.9985971,0.0004955034,0.0007283817],"genre_scores_gemma":[0.0001762764,0.0000345375,0.0002091941,0.00004397955,0.000003243135,0.00004273309,0.9988147,0.0001863197,0.0004890718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388752,"threshold_uncertainty_score":0.539016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}