{"id":"W6962494471","doi":"10.15468/dl.kmrdxe","title":"Occurrence Download","year":2023,"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","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":[0.0009984671,0.001993896,0.001614153,0.004860207,0.001012331,0.002566999,0.00288726,0.0020804,0.1500705],"category_scores_gemma":[0.005765416,0.0009401897,0.001194132,0.009792722,0.0004466297,0.002289951,0.002543318,0.002073832,0.2092284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657431,"about_ca_system_score_gemma":0.002343122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02419201,"about_ca_topic_score_gemma":0.03798017,"domain_scores_codex":[0.9990014,0.0001304908,0.000126881,0.0003473058,0.0002261277,0.0001677633],"domain_scores_gemma":[0.9976925,0.0006584841,0.0002167252,0.0005930428,0.0005656423,0.0002736905],"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":[0.00002868037,0.00001113111,0.0003564095,0.0005050832,0.00001493387,0.00001461646,0.00002398765,0.0001219823,0.0001187944,0.0003923018,0.9970733,0.001338771],"study_design_scores_gemma":[0.00007417789,0.000007646436,0.001839149,0.0001826077,0.0000144706,0.00003627706,0.00007144387,0.0001568378,0.0001957707,0.00073606,0.9966679,0.00001771496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004103975,0.00002577238,0.00004402494,0.00003524125,0.00001115864,0.000004936895,0.99884,0.0003789943,0.0006187667],"genre_scores_gemma":[0.0001588897,0.00003104168,0.0001851863,0.00004185624,0.000003052141,0.00003868291,0.9989665,0.0001495914,0.0004252688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499295,"threshold_uncertainty_score":0.5020359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}