{"id":"W7111252580","doi":"10.15468/dl.5cz827","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009897929,0.002079298,0.001556969,0.005211254,0.0009661535,0.002647877,0.002819572,0.001794875,0.1822592],"category_scores_gemma":[0.006041191,0.0009736973,0.001222315,0.01002058,0.0004305655,0.002484171,0.002808365,0.001871451,0.2495422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537564,"about_ca_system_score_gemma":0.002356352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128837,"about_ca_topic_score_gemma":0.03484127,"domain_scores_codex":[0.9988542,0.0001484656,0.000150529,0.0003969953,0.0002527237,0.0001971883],"domain_scores_gemma":[0.997413,0.0006417841,0.0002501734,0.0006978842,0.0006837114,0.0003135778],"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":[0.0000325042,0.000009369597,0.0003158551,0.0004762171,0.00001365428,0.00001208464,0.00001865881,0.0000924225,0.0001105216,0.0003774113,0.9971932,0.00134822],"study_design_scores_gemma":[0.00006742027,0.000008102025,0.0016566,0.0001516762,0.00001316414,0.00003121955,0.00005123256,0.0001114425,0.0001770031,0.000765296,0.99695,0.00001698085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003511705,0.00002226098,0.00004000878,0.00002974298,0.00001130293,0.000004895239,0.9987714,0.0004067526,0.0006785917],"genre_scores_gemma":[0.0001403272,0.00003159164,0.0001853719,0.00004807627,0.000003729304,0.00003567716,0.9988826,0.0001720967,0.000500499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8177408,"threshold_uncertainty_score":0.6097177,"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."}}