{"id":"W6962055176","doi":"10.15468/dl.87wa5q","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":[0.0009001014,0.001815094,0.001519155,0.004848239,0.001012631,0.002979021,0.002717879,0.001806627,0.1982329],"category_scores_gemma":[0.00602377,0.0009057407,0.001349867,0.009517931,0.000407208,0.002655714,0.002782133,0.001857497,0.2836862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145288,"about_ca_system_score_gemma":0.002271154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207139,"about_ca_topic_score_gemma":0.03284361,"domain_scores_codex":[0.9989477,0.0001275297,0.0001343728,0.0003759881,0.0002293585,0.0001851214],"domain_scores_gemma":[0.9976286,0.0006061495,0.0001971399,0.0006660892,0.000648818,0.0002531329],"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":[0.00002736481,0.000008967841,0.0004215515,0.0005037743,0.00001450039,0.0000153631,0.00002512854,0.0001206279,0.0001140848,0.0003879987,0.9963796,0.00198109],"study_design_scores_gemma":[0.00004699856,0.000006509667,0.001640681,0.0001568796,0.00001210533,0.0000326723,0.00007415337,0.0001582294,0.0001642015,0.0007424235,0.9969496,0.00001561007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004674917,0.00003215831,0.00006786051,0.00004463309,0.0000177373,0.000005971061,0.9981683,0.0006879017,0.0009285703],"genre_scores_gemma":[0.0001986771,0.00004263492,0.0002693058,0.00005613353,0.000005077748,0.00004142767,0.9984531,0.0002526152,0.0006809572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8017671,"threshold_uncertainty_score":0.6631553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}