{"id":"W6924954842","doi":"10.15468/dl.tbdfbs","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Natural (archaeology)","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":[0.0009408143,0.002047619,0.001579483,0.00516955,0.0009965166,0.002464851,0.002869974,0.002058238,0.124049],"category_scores_gemma":[0.005496789,0.0008726086,0.001164535,0.009468614,0.0004514899,0.002306515,0.002584549,0.002060747,0.1907062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631785,"about_ca_system_score_gemma":0.00232181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041134,"about_ca_topic_score_gemma":0.03757059,"domain_scores_codex":[0.9989045,0.0001485481,0.000139385,0.0003784365,0.0002514245,0.0001776701],"domain_scores_gemma":[0.9978169,0.0005545728,0.0001994733,0.0005959225,0.0005622896,0.0002708168],"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":[0.00003107096,0.00001329878,0.0003972348,0.000475984,0.0000149309,0.00001642945,0.00002156097,0.0001367088,0.0001152819,0.0003848431,0.9970179,0.001374879],"study_design_scores_gemma":[0.00007754088,0.000008735646,0.001918985,0.0001748293,0.00001406403,0.00004467648,0.00007493785,0.0002000373,0.0002208858,0.0007877441,0.9964609,0.00001665386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005642013,0.00003190602,0.00004948365,0.00003669893,0.00001126566,0.000006441234,0.9987152,0.0004331721,0.0006593701],"genre_scores_gemma":[0.0001664555,0.00003082791,0.0001885131,0.00003937689,0.000003031145,0.00003916274,0.999015,0.0001194459,0.0003981873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.875951,"threshold_uncertainty_score":0.4149853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169086788684483,"score_gpt":0.2209328989132924,"score_spread":0.2040242200448441,"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."}}