{"id":"W7114816299","doi":"10.15468/dl.mcush5","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); Data set; Set (abstract data type)","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":[0.0009925639,0.001939254,0.001623493,0.005715007,0.000982899,0.002696111,0.002670003,0.001889217,0.1738362],"category_scores_gemma":[0.005746423,0.000899794,0.001143703,0.01067758,0.0004485133,0.002379932,0.002687976,0.001940718,0.2472897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639792,"about_ca_system_score_gemma":0.002560109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413763,"about_ca_topic_score_gemma":0.03886921,"domain_scores_codex":[0.9988794,0.0001392501,0.0001400181,0.0003737043,0.0002674863,0.0002001814],"domain_scores_gemma":[0.997463,0.0006136912,0.0002548357,0.0006524671,0.0006913333,0.0003246706],"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":[0.00002779985,0.000008973829,0.000323039,0.0004845071,0.00001365254,0.00001174505,0.0000190609,0.00009187379,0.0001116198,0.000337574,0.9971494,0.001420719],"study_design_scores_gemma":[0.00005837708,0.000006947159,0.001800737,0.0001805936,0.00001326671,0.00003046416,0.00005974555,0.00009938244,0.0001724722,0.0006489046,0.9969134,0.0000157103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003229255,0.00002447418,0.00003380585,0.00002931042,0.00001028738,0.000004423432,0.9989148,0.000320431,0.0006301581],"genre_scores_gemma":[0.0001373137,0.00003292388,0.0001623788,0.00004409388,0.000003491876,0.00003165806,0.998976,0.000140789,0.0004713179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8261638,"threshold_uncertainty_score":0.5815402,"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."}}