{"id":"W7105759666","doi":"10.15468/dl.my5vm6","title":"Occurrence Download","year":2025,"lang":"","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); Order (exchange); 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":[0.001024188,0.001698823,0.0014912,0.005291499,0.001021611,0.00275649,0.002839393,0.001938305,0.2064138],"category_scores_gemma":[0.007140382,0.0009106832,0.001137807,0.01010083,0.0004452785,0.002496687,0.002604327,0.002034436,0.2442167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173171,"about_ca_system_score_gemma":0.002542667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02583687,"about_ca_topic_score_gemma":0.04180041,"domain_scores_codex":[0.9989805,0.0001252371,0.0001323975,0.0003532303,0.0002343357,0.0001742847],"domain_scores_gemma":[0.9971799,0.0008302242,0.0002661297,0.0006811618,0.0007144524,0.0003281634],"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":[0.00002295373,0.0000094795,0.0003695173,0.0004660149,0.00001216241,0.00001335906,0.00002377054,0.0001008375,0.00008677623,0.0003743595,0.997121,0.001399686],"study_design_scores_gemma":[0.00005813977,0.000006337468,0.001782138,0.0002087818,0.00001298395,0.00003186842,0.00008032261,0.0001302767,0.0001560023,0.0007599627,0.9967573,0.0000159081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003279537,0.00001941215,0.00004239595,0.00003496286,0.00001075492,0.000004973048,0.9988371,0.0003339024,0.0006836919],"genre_scores_gemma":[0.0001596692,0.00003121558,0.0002140867,0.00004939482,0.000003600415,0.00004468647,0.9987369,0.0001798196,0.0005806201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7935863,"threshold_uncertainty_score":0.6905228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}