{"id":"W6924437070","doi":"10.15468/dl.77ckac","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":[0.0009403756,0.001922532,0.001587734,0.004858091,0.001084146,0.003048597,0.002914996,0.001886312,0.2036101],"category_scores_gemma":[0.006407004,0.0009738559,0.00138964,0.009611689,0.0004177112,0.002681065,0.002922558,0.001970943,0.2956498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488155,"about_ca_system_score_gemma":0.002367323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057178,"about_ca_topic_score_gemma":0.03241984,"domain_scores_codex":[0.9989088,0.0001348968,0.0001367452,0.0003904957,0.0002381717,0.0001910299],"domain_scores_gemma":[0.9974443,0.000649565,0.0002038511,0.0007296729,0.0007047564,0.0002678979],"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":[0.00002682378,0.000009149905,0.0003982872,0.0004703215,0.00001408977,0.00001496137,0.00002335815,0.0001143767,0.0001115933,0.0003540759,0.9966617,0.001801246],"study_design_scores_gemma":[0.00005095274,0.000006671885,0.001535662,0.0001510522,0.00001217001,0.00003194238,0.00007325121,0.000155714,0.0001674607,0.0007415765,0.9970577,0.00001592411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004510942,0.0000293144,0.00006705189,0.00004533735,0.00001768693,0.000006223369,0.9981857,0.0007070234,0.0008966902],"genre_scores_gemma":[0.0001817274,0.00003935637,0.0002611492,0.00005443006,0.000004922505,0.00004528011,0.9984792,0.0002606476,0.0006733662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7963899,"threshold_uncertainty_score":0.6811435,"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."}}