{"id":"W7116095817","doi":"10.15468/dl.w34kkn","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":[0.0009774831,0.001862245,0.001548609,0.005392682,0.0009847409,0.00253536,0.002720558,0.001892708,0.1665097],"category_scores_gemma":[0.005824972,0.0008668809,0.001111787,0.01033022,0.0004531172,0.002205141,0.002650396,0.001881808,0.2266312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643561,"about_ca_system_score_gemma":0.002503086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02494442,"about_ca_topic_score_gemma":0.04050695,"domain_scores_codex":[0.9989176,0.0001406669,0.0001355061,0.000362665,0.0002512682,0.0001923575],"domain_scores_gemma":[0.9974967,0.0006388031,0.0002457795,0.000655585,0.0006548982,0.0003082608],"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":[0.0000309213,0.00001032007,0.0003582111,0.0005408265,0.00001455517,0.00001351444,0.00002314139,0.0001037807,0.0001203972,0.0003820442,0.996904,0.001498311],"study_design_scores_gemma":[0.00006263809,0.000007016829,0.001880283,0.0001868974,0.00001338909,0.00003167987,0.00006664776,0.0001075189,0.0001864358,0.0006693207,0.9967721,0.00001598063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003766302,0.00002508405,0.00003558584,0.0000293424,0.000009439502,0.000004615884,0.9989057,0.0003232752,0.0006292263],"genre_scores_gemma":[0.0001494804,0.0000315715,0.0001608703,0.00004116655,0.000003106491,0.0000346919,0.9989883,0.0001344378,0.0004562994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8334903,"threshold_uncertainty_score":0.5570304,"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."}}