{"id":"W6943625800","doi":"10.15468/dl.tqq5s5","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":"Matching (statistics); Download; Range (aeronautics); Field (mathematics)","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":[0.0009287445,0.002098297,0.001574073,0.005178868,0.0009803015,0.002580077,0.002783115,0.001841609,0.1678348],"category_scores_gemma":[0.005716308,0.0009849956,0.00118961,0.01040596,0.0004324779,0.002377488,0.002658737,0.001920628,0.2344859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457443,"about_ca_system_score_gemma":0.002298562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01917547,"about_ca_topic_score_gemma":0.03403667,"domain_scores_codex":[0.9989096,0.0001470989,0.0001434109,0.0003925342,0.0002302491,0.0001770613],"domain_scores_gemma":[0.997468,0.0006766974,0.0002407491,0.0006888415,0.0006348414,0.0002908243],"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":[0.00003287553,0.00001112224,0.0003525644,0.000517388,0.00001453929,0.00001349146,0.00002136626,0.0001088837,0.0001198345,0.0003784281,0.9969755,0.001454031],"study_design_scores_gemma":[0.00006874463,0.000008221792,0.001697622,0.0001589323,0.00001348554,0.00003322248,0.00005803637,0.0001194631,0.0001746492,0.0007772783,0.9968728,0.00001753071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003897798,0.00002423831,0.00004190993,0.00002896484,0.00001127171,0.000004753564,0.998838,0.0003503884,0.0006615746],"genre_scores_gemma":[0.0001405574,0.0000318319,0.0001936519,0.00004462038,0.000003583507,0.00003911554,0.9988932,0.0001504211,0.0005030043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8321652,"threshold_uncertainty_score":0.5614633,"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."}}