{"id":"W6887143620","doi":"10.15468/dl.ru8t86","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":[0.0009195146,0.001871489,0.001482576,0.004722554,0.001083119,0.002956917,0.002703029,0.001845133,0.1863512],"category_scores_gemma":[0.006115453,0.0009110881,0.001375042,0.009329543,0.0003989784,0.002554922,0.002732886,0.00188114,0.273532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449731,"about_ca_system_score_gemma":0.002364536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02139977,"about_ca_topic_score_gemma":0.03457624,"domain_scores_codex":[0.9989317,0.0001352728,0.0001349311,0.000379867,0.000233098,0.0001852182],"domain_scores_gemma":[0.9975562,0.0006448859,0.000193024,0.0006976523,0.0006582934,0.0002498517],"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":[0.00002885582,0.000009751977,0.0004469561,0.0005064684,0.00001489139,0.00001657273,0.0000270129,0.0001235221,0.0001230935,0.0003946527,0.9962835,0.002024885],"study_design_scores_gemma":[0.00004748431,0.000006485983,0.001548886,0.0001481133,0.00001209325,0.00003222232,0.00007585533,0.0001555284,0.0001761319,0.0007550194,0.9970265,0.00001571225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005039567,0.00003144203,0.00007211044,0.00004558743,0.0000187418,0.000006317775,0.9981248,0.0007116722,0.000938956],"genre_scores_gemma":[0.0001872991,0.00003987737,0.0002767381,0.00005256619,0.000004994985,0.00004330055,0.9984953,0.0002454077,0.0006545038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8136488,"threshold_uncertainty_score":0.6234068,"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."}}