{"id":"W6905800367","doi":"10.15468/dl.kua29r","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":"Matching (statistics); Download; Range (aeronautics); Measure (data warehouse); Data set; Order (exchange)","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":[0.0009607506,0.002241001,0.001819429,0.006069319,0.00116553,0.002980503,0.002934826,0.002293342,0.1969889],"category_scores_gemma":[0.006618405,0.001010506,0.001432617,0.01174696,0.0004339871,0.002832083,0.002898786,0.002104072,0.2756294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927368,"about_ca_system_score_gemma":0.002621351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409497,"about_ca_topic_score_gemma":0.04104038,"domain_scores_codex":[0.9987426,0.0001563258,0.0001598652,0.0004280693,0.0002931067,0.0002200277],"domain_scores_gemma":[0.9972537,0.0007509226,0.0002395869,0.0006801142,0.0007649903,0.0003106935],"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":[0.00003260197,0.00001009658,0.00036666,0.0006120432,0.00001530428,0.00001545499,0.00002127088,0.0001226008,0.0001201376,0.0003580902,0.9966105,0.001715293],"study_design_scores_gemma":[0.00006492608,0.000008000019,0.001542086,0.0002007611,0.00001355045,0.00003536537,0.00006576676,0.0001509183,0.0001707899,0.0006977731,0.9970331,0.00001700781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003798991,0.00003468115,0.00004740595,0.00003650933,0.00001279,0.000005008229,0.9985587,0.000498077,0.0007689222],"genre_scores_gemma":[0.0001457553,0.00004028867,0.0002085011,0.00004699902,0.000003770553,0.00003643849,0.9988219,0.0001774291,0.0005189662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8030111,"threshold_uncertainty_score":0.6589935,"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."}}