{"id":"W6924623198","doi":"10.15468/dl.ne4msb","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); The Internet; Data set","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":[0.001162391,0.001948922,0.001640958,0.005126819,0.001098604,0.002746711,0.002983069,0.002078309,0.1699523],"category_scores_gemma":[0.006535537,0.000967633,0.001134656,0.01004906,0.0004695632,0.002471671,0.002675001,0.002167886,0.2289829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687071,"about_ca_system_score_gemma":0.002504188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214221,"about_ca_topic_score_gemma":0.03729656,"domain_scores_codex":[0.9988363,0.0001606425,0.0001508274,0.0003969791,0.0002692509,0.0001859209],"domain_scores_gemma":[0.9972129,0.0007980304,0.000258496,0.0007383687,0.0006861411,0.0003060348],"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":[0.00002647108,0.00001060731,0.0003278506,0.0004849917,0.00001369688,0.00001415896,0.00002437974,0.0001048311,0.0001105742,0.0004190984,0.997193,0.001270287],"study_design_scores_gemma":[0.00006224703,0.000006450265,0.001592426,0.0001704345,0.00001259694,0.00003383974,0.00006823811,0.0001149014,0.0001736814,0.0007448379,0.9970034,0.00001708996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003582179,0.00002341837,0.00004977021,0.00003512431,0.0000118548,0.000005030454,0.9987834,0.0003644002,0.0006912032],"genre_scores_gemma":[0.0001461075,0.00003033277,0.0002043713,0.0000419473,0.000003287682,0.00004163146,0.9988813,0.0001694093,0.0004816855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8300477,"threshold_uncertainty_score":0.5685472,"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."}}