{"id":"W6962244780","doi":"10.15468/dl.qe7n9v","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); Alien; Range (aeronautics)","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":[0.001016025,0.001966984,0.00156521,0.005271683,0.001012522,0.002689797,0.00269638,0.002093449,0.1712055],"category_scores_gemma":[0.006504704,0.0008671696,0.001262463,0.009998885,0.0004485139,0.002290841,0.002578439,0.001934718,0.2468132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537364,"about_ca_system_score_gemma":0.002381859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210433,"about_ca_topic_score_gemma":0.03291709,"domain_scores_codex":[0.9989482,0.0001474153,0.000131432,0.0003705607,0.0002297382,0.0001727653],"domain_scores_gemma":[0.997346,0.0007909321,0.0002341289,0.0006741693,0.0006668693,0.0002878352],"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":[0.00002722621,0.00001065188,0.0003801312,0.000548305,0.000013633,0.00001475393,0.0000227336,0.0001129572,0.0001082855,0.0003396304,0.9970245,0.0013973],"study_design_scores_gemma":[0.00006859899,0.000008749816,0.001774817,0.0002103243,0.00001469695,0.00003505161,0.00007803596,0.0001475351,0.0001790726,0.0007440511,0.9967218,0.00001723711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004032603,0.00002803633,0.00004089195,0.00003900761,0.00001313732,0.000005617747,0.9988141,0.0003765595,0.0006423401],"genre_scores_gemma":[0.0001624099,0.00003675857,0.0001934549,0.00005151382,0.000004263294,0.00004725672,0.998834,0.0001532007,0.0005171338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287945,"threshold_uncertainty_score":0.5727395,"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."}}