{"id":"W7094950353","doi":"10.15468/dl.phweve","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[],"consensus_categories":[],"category_scores_codex":[0.0009111619,0.001825977,0.00156175,0.00514918,0.001052849,0.002904483,0.0028432,0.001882463,0.1667952],"category_scores_gemma":[0.006340315,0.0009018703,0.001325202,0.009356244,0.0004192063,0.00243542,0.002670061,0.001934475,0.2481752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514765,"about_ca_system_score_gemma":0.002458937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.020062,"about_ca_topic_score_gemma":0.03296165,"domain_scores_codex":[0.998925,0.0001333831,0.0001431595,0.0003908149,0.0002266923,0.0001808783],"domain_scores_gemma":[0.9975222,0.0006469033,0.0002126055,0.0006866354,0.0006698688,0.0002617759],"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":[0.0000308898,0.00001007868,0.0004896784,0.0005428657,0.00001585573,0.00001817611,0.00002708539,0.0001289104,0.0001246176,0.0004078475,0.9961676,0.00203631],"study_design_scores_gemma":[0.00005446179,0.000006701481,0.001667089,0.0001605594,0.00001290209,0.00003653914,0.00007815761,0.000167322,0.0001810074,0.0007879199,0.9968315,0.00001583401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004992998,0.00003187799,0.00006985461,0.00004261949,0.0000164431,0.000006588637,0.9982785,0.0006854863,0.0008186381],"genre_scores_gemma":[0.0001911327,0.00003851261,0.0002799639,0.00005152997,0.000004578995,0.00004634251,0.9986194,0.0002180361,0.0005504627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1667952,"threshold_uncertainty_score":0.5579854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506289569083919,"score_gpt":0.2346918387188196,"score_spread":0.2196289430279804,"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."}}