{"id":"W6943759425","doi":"10.15468/dl.qw3f22","title":"Occurrence Download","year":2021,"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); UniProt; Range (aeronautics); Confidentiality","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":[0.0008989427,0.001849444,0.001528763,0.005397165,0.001061421,0.002770929,0.002950706,0.001992481,0.1574501],"category_scores_gemma":[0.006042259,0.0009020627,0.001300373,0.01073712,0.0004435325,0.00246487,0.002697526,0.002094811,0.2239711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643568,"about_ca_system_score_gemma":0.00253402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024162,"about_ca_topic_score_gemma":0.03372491,"domain_scores_codex":[0.9988884,0.0001405607,0.0001555903,0.0003994545,0.00023816,0.0001777367],"domain_scores_gemma":[0.9975768,0.0006363998,0.0002207929,0.0006676129,0.0006264037,0.0002720561],"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":[0.00003084609,0.00001174133,0.000438328,0.0005938411,0.00001480487,0.00001684911,0.00002664956,0.000131609,0.0001221656,0.0004254387,0.9962401,0.001947626],"study_design_scores_gemma":[0.00005178961,0.00000700194,0.001579206,0.0001736275,0.00001248372,0.00003736839,0.00007659785,0.0001507557,0.0001727538,0.0006742224,0.9970495,0.00001475078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004785826,0.00003134628,0.00005298341,0.00004182863,0.00001380804,0.000005991129,0.9986179,0.0004211203,0.0007670781],"genre_scores_gemma":[0.0001650252,0.00003825549,0.0002307827,0.00004596862,0.000003455813,0.00004121575,0.9987392,0.0001383625,0.0005977739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425499,"threshold_uncertainty_score":0.5267231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}