{"id":"W6924975096","doi":"10.15468/dl.qqnd6v","title":"Occurrence Download","year":2024,"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); Set (abstract data type); Data set","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":[0.0009301557,0.001809187,0.001494942,0.005347748,0.0009876536,0.002416554,0.002742555,0.001884894,0.162225],"category_scores_gemma":[0.006114036,0.0009105136,0.001086126,0.01112092,0.0004319208,0.002264367,0.00247488,0.001941735,0.2063593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841428,"about_ca_system_score_gemma":0.002763828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0320258,"about_ca_topic_score_gemma":0.05266082,"domain_scores_codex":[0.998947,0.000137787,0.0001354031,0.0003507887,0.0002467315,0.0001823912],"domain_scores_gemma":[0.9974244,0.0006827422,0.0002493731,0.0006580545,0.0007045602,0.0002809285],"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":[0.00002503611,0.000009805629,0.000394217,0.0004622494,0.00001364042,0.00001314398,0.00002331909,0.0001311721,0.00009426803,0.000389551,0.9970506,0.001392809],"study_design_scores_gemma":[0.00005893198,0.000006391204,0.001744819,0.0001724682,0.00001283907,0.00003096179,0.00007514405,0.0001332675,0.0001601507,0.0007181426,0.9968708,0.00001606537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003656965,0.00002188101,0.00004005137,0.00003018831,0.000009938429,0.000004251819,0.9989673,0.0002845876,0.0006051936],"genre_scores_gemma":[0.0001537507,0.00003235076,0.0001982044,0.00003588492,0.000002952426,0.00003670583,0.9989105,0.0001283258,0.000501383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.837775,"threshold_uncertainty_score":0.5426967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}