{"id":"W6962500034","doi":"10.15468/dl.uamrrb","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); R package; The Internet","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":[],"consensus_categories":[],"category_scores_codex":[0.0009940923,0.001999331,0.001498855,0.005019663,0.001027283,0.002439272,0.002870788,0.002056545,0.1496301],"category_scores_gemma":[0.005662324,0.0008901728,0.001155832,0.009580194,0.0004693788,0.002305724,0.002565219,0.002042326,0.2089381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552148,"about_ca_system_score_gemma":0.002240154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117414,"about_ca_topic_score_gemma":0.03706188,"domain_scores_codex":[0.9990251,0.000134312,0.0001170632,0.000345471,0.0002155062,0.0001625312],"domain_scores_gemma":[0.9976587,0.0006624365,0.0002204916,0.0006315362,0.0005477337,0.0002790435],"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":[0.00002756101,0.00001207288,0.0003813524,0.000496262,0.00001375172,0.00001546409,0.00002548005,0.0001285884,0.0001214841,0.0003815152,0.9969453,0.001451106],"study_design_scores_gemma":[0.00006635632,0.000008253071,0.001834465,0.000174387,0.00001310842,0.00003862402,0.00007691993,0.0001575867,0.0001940565,0.0007376493,0.9966814,0.00001724233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005277832,0.00002913642,0.00005271453,0.00003753284,0.00001328324,0.00000572,0.9986706,0.0004346617,0.0007036421],"genre_scores_gemma":[0.0001775969,0.00003163987,0.000211981,0.00004316952,0.000003525045,0.00004300769,0.9988573,0.0001568844,0.0004750173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1496301,"threshold_uncertainty_score":0.5005627,"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."}}