{"id":"W6887044541","doi":"10.15468/dl.n9cvat","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; Set (abstract data type)","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":[0.001151854,0.001949021,0.001714857,0.00530702,0.00108653,0.002972215,0.003112998,0.00206882,0.187006],"category_scores_gemma":[0.006880721,0.001019447,0.001201938,0.01080879,0.0004707607,0.002546545,0.002807518,0.00215087,0.2500426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586081,"about_ca_system_score_gemma":0.002413651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971184,"about_ca_topic_score_gemma":0.03257105,"domain_scores_codex":[0.9988235,0.0001588271,0.0001527772,0.0004164316,0.0002595513,0.0001889128],"domain_scores_gemma":[0.9972085,0.000806413,0.0002563109,0.0007454506,0.0006709581,0.0003123305],"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":[0.00002725243,0.000009873416,0.0003196171,0.0005225464,0.00001464197,0.00001374204,0.00002346112,0.0001019261,0.0001077121,0.0004012212,0.9971438,0.001314159],"study_design_scores_gemma":[0.00006172858,0.000006485367,0.001496303,0.0001824238,0.0000136174,0.00003268001,0.00006816292,0.000112516,0.000167772,0.0007645327,0.9970773,0.00001656311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003327991,0.00002432506,0.00004821054,0.00003420393,0.00001159526,0.000004834684,0.9988039,0.0003770816,0.0006625881],"genre_scores_gemma":[0.0001445319,0.00003317602,0.0001957426,0.00004432204,0.000003366986,0.00004107344,0.9988672,0.000186971,0.0004836859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.812994,"threshold_uncertainty_score":0.6255974,"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."}}