{"id":"W6886983554","doi":"10.15468/dl.kq84px","title":"Occurrence Download","year":2024,"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":[0.0009465637,0.001881875,0.001625339,0.005227673,0.00111098,0.003094285,0.002870277,0.001914916,0.203953],"category_scores_gemma":[0.006489136,0.0009593607,0.001381612,0.00996801,0.0004233305,0.002745825,0.002945712,0.002002891,0.2884313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496458,"about_ca_system_score_gemma":0.002416874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01998727,"about_ca_topic_score_gemma":0.03245354,"domain_scores_codex":[0.9988672,0.0001403597,0.0001422958,0.0004032625,0.0002504495,0.000196558],"domain_scores_gemma":[0.9974046,0.0006833987,0.0002123942,0.0007225215,0.0007009233,0.0002761562],"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":[0.000028937,0.000009688236,0.0004285234,0.0005240091,0.00001501053,0.00001653476,0.00002663377,0.0001219118,0.0001214146,0.0004077233,0.996326,0.001973605],"study_design_scores_gemma":[0.00004777609,0.000006276118,0.001470235,0.0001538897,0.00001222886,0.0000324727,0.00007295454,0.0001479239,0.0001654402,0.0007670376,0.9971078,0.00001588014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004721721,0.00003125361,0.00007106032,0.00004587916,0.00001804518,0.000006300373,0.9981359,0.0006939852,0.0009503142],"genre_scores_gemma":[0.0001846594,0.00004215386,0.0002788075,0.00005546132,0.000004888634,0.00004601032,0.9984201,0.0002626926,0.0007050985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.796047,"threshold_uncertainty_score":0.6822909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}