{"id":"W6924724970","doi":"10.15468/dl.wewa7x","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); 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":[0.0008975672,0.002032127,0.001615058,0.005183631,0.0009403899,0.00258463,0.002704934,0.001882682,0.172751],"category_scores_gemma":[0.005452607,0.0009687329,0.001155156,0.01023707,0.0004254628,0.002321474,0.002559355,0.001893166,0.237572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470986,"about_ca_system_score_gemma":0.00221722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01837813,"about_ca_topic_score_gemma":0.03184104,"domain_scores_codex":[0.9989643,0.0001376077,0.0001337011,0.0003726399,0.000217804,0.0001739545],"domain_scores_gemma":[0.9976164,0.0006370802,0.0002351614,0.0006255677,0.0006084117,0.0002773761],"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":[0.00003357956,0.00001152984,0.0003678413,0.0005647302,0.00001485809,0.000013691,0.0000216715,0.0001182488,0.0001267034,0.0003916587,0.9968511,0.001484368],"study_design_scores_gemma":[0.00007036471,0.000008591261,0.001690813,0.0001730745,0.00001381801,0.00003212346,0.0000588987,0.0001230096,0.0001765077,0.0007813873,0.9968534,0.00001794532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003971627,0.00002543759,0.00003993588,0.00002908968,0.00001113536,0.000004673295,0.9988776,0.0003258006,0.0006466429],"genre_scores_gemma":[0.000145765,0.00003536099,0.0001908791,0.00004579828,0.000003524186,0.00004035195,0.9988729,0.0001444341,0.0005209378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8272491,"threshold_uncertainty_score":0.5779096,"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."}}