{"id":"W6943672342","doi":"10.15468/dl.vjjdtd","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); 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":[0.001027095,0.002003165,0.001723241,0.00525557,0.001033311,0.002575958,0.00284828,0.00206241,0.1620243],"category_scores_gemma":[0.005818944,0.0009619042,0.001149516,0.01039727,0.0004724645,0.002367353,0.002646227,0.002080835,0.2232518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539328,"about_ca_system_score_gemma":0.002407856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02098841,"about_ca_topic_score_gemma":0.03653638,"domain_scores_codex":[0.9989549,0.000143406,0.0001351127,0.0003626773,0.0002322657,0.0001716137],"domain_scores_gemma":[0.9974776,0.0007018645,0.0002390734,0.0006689304,0.0006123988,0.0003001205],"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":[0.000030106,0.00001178604,0.0003776259,0.0005835994,0.00001510388,0.00001583997,0.00002658059,0.0001256659,0.0001298681,0.0004019099,0.9968945,0.001387382],"study_design_scores_gemma":[0.00007203645,0.000007583923,0.001751626,0.0001819281,0.00001320129,0.00003439538,0.0000733593,0.0001257371,0.0001769635,0.0007707851,0.9967746,0.00001773686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003973814,0.00002452061,0.00004353826,0.00003162113,0.00001102611,0.000005028387,0.9988979,0.0003411478,0.0006053963],"genre_scores_gemma":[0.0001533413,0.00003237858,0.0002016187,0.00004098582,0.000003253075,0.00004204589,0.9989021,0.0001499748,0.0004743422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8379757,"threshold_uncertainty_score":0.5420253,"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."}}