{"id":"W6962239334","doi":"10.15468/dl.x7d8bd","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); Software; R package","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":[0.0008944989,0.00197667,0.001541948,0.004817137,0.001050743,0.002736355,0.002977124,0.002127222,0.1689146],"category_scores_gemma":[0.005931297,0.0009496305,0.001174322,0.009785766,0.000456528,0.002363921,0.002606708,0.002060939,0.2392292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175843,"about_ca_system_score_gemma":0.00243764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02524087,"about_ca_topic_score_gemma":0.04141391,"domain_scores_codex":[0.9990427,0.0001231833,0.0001173927,0.0003285088,0.0002268286,0.0001612967],"domain_scores_gemma":[0.9977506,0.0006288183,0.0001957566,0.0005791282,0.0005997857,0.0002458266],"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":[0.00002521434,0.00001027967,0.0003334153,0.0004913235,0.00001288932,0.00001468241,0.00002401788,0.000107975,0.0001062374,0.0003779771,0.9970594,0.001436601],"study_design_scores_gemma":[0.000061251,0.000006472934,0.001462794,0.0001796813,0.00001263524,0.00003592429,0.00007514799,0.0001443069,0.000190264,0.0007272693,0.9970877,0.00001668059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000422362,0.00002960122,0.00005416016,0.00003968371,0.00001200976,0.000005628111,0.9985072,0.000515331,0.0007941209],"genre_scores_gemma":[0.0001781672,0.00003786441,0.0002438378,0.00004721708,0.000003485022,0.00004632122,0.9986901,0.000208319,0.0005447168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8310854,"threshold_uncertainty_score":0.5650756,"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."}}