{"id":"W6887188154","doi":"10.15468/dl.uvvmz8","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":[0.000893659,0.001868644,0.00156901,0.004852326,0.001020707,0.002816131,0.002780335,0.001873963,0.1738024],"category_scores_gemma":[0.005933735,0.0009062993,0.00140318,0.00916951,0.0004051296,0.002470519,0.002733597,0.001847879,0.25636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377962,"about_ca_system_score_gemma":0.002237721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01889597,"about_ca_topic_score_gemma":0.03094335,"domain_scores_codex":[0.9989563,0.0001309595,0.0001315252,0.0003743373,0.0002261744,0.000180792],"domain_scores_gemma":[0.9976791,0.0005930354,0.0001895014,0.0006715166,0.0006174148,0.0002495781],"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":[0.00003105839,0.0000104627,0.000500961,0.0005584244,0.00001727088,0.00001811245,0.00002711812,0.0001446134,0.0001396989,0.000382126,0.9960434,0.002126756],"study_design_scores_gemma":[0.00005555825,0.000007778108,0.001815121,0.0001628354,0.00001443895,0.00003850309,0.0000793937,0.0001942853,0.0001960375,0.0008004856,0.9966183,0.00001734471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005609962,0.00003476617,0.00007288855,0.00004360177,0.00001889389,0.00000655977,0.9981859,0.0007392061,0.0008419201],"genre_scores_gemma":[0.0001985921,0.00004064287,0.0002876433,0.00004938872,0.000005039532,0.00004578338,0.9985583,0.0002243384,0.0005901998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8261976,"threshold_uncertainty_score":0.581427,"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."}}