{"id":"W6943219607","doi":"10.15468/dl.jadrmp","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Research Data Management Practices","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009262983,0.001808033,0.001396301,0.004710131,0.001009785,0.002757875,0.002656453,0.001841758,0.1590455],"category_scores_gemma":[0.006091906,0.0008401638,0.001267674,0.008794771,0.0004090027,0.002481512,0.002542343,0.001889774,0.2467762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156217,"about_ca_system_score_gemma":0.002379945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037314,"about_ca_topic_score_gemma":0.03266014,"domain_scores_codex":[0.9989302,0.0001351057,0.0001392984,0.0003766138,0.0002381768,0.0001805826],"domain_scores_gemma":[0.9976745,0.0005836771,0.0001879875,0.0006602613,0.0006471879,0.0002463115],"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":[0.00002696943,0.000009640618,0.0003933999,0.0004109343,0.00001229375,0.00001494195,0.00002271368,0.0001199373,0.0001026634,0.0003819005,0.996681,0.001823566],"study_design_scores_gemma":[0.00005035817,0.000006585433,0.001549801,0.0001434003,0.00001050729,0.00003281566,0.00007292863,0.0001852223,0.0001811402,0.0007767004,0.996976,0.00001453856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005361205,0.00003172715,0.00007436117,0.00004939708,0.00001813329,0.000007312327,0.9980705,0.000745414,0.0009495753],"genre_scores_gemma":[0.0001913177,0.00003695412,0.0002744575,0.0000534819,0.000004571777,0.00004426149,0.9985677,0.0002125443,0.0006146498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409545,"threshold_uncertainty_score":0.5320601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761864349018661,"score_gpt":0.2888078212483628,"score_spread":0.2511891777581762,"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."}}