{"id":"W6962647547","doi":"10.15468/dl.yysnte","title":"Occurrence Download","year":2022,"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":[],"consensus_categories":[],"category_scores_codex":[0.000906545,0.001835183,0.001546814,0.00501211,0.001058141,0.002983215,0.002718076,0.001845698,0.1926571],"category_scores_gemma":[0.006234567,0.000910635,0.001327909,0.009749791,0.0004106672,0.002591146,0.002796277,0.001922694,0.2771837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140796,"about_ca_system_score_gemma":0.002304559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956579,"about_ca_topic_score_gemma":0.03175392,"domain_scores_codex":[0.99893,0.0001303729,0.000134146,0.0003833042,0.0002355915,0.0001865264],"domain_scores_gemma":[0.9974855,0.0006574591,0.00020679,0.0007018507,0.0006839307,0.0002644385],"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":[0.00002896973,0.000009849286,0.0004418086,0.0005187167,0.00001479141,0.00001689577,0.00002668573,0.0001274732,0.0001260064,0.000393416,0.99628,0.002015373],"study_design_scores_gemma":[0.00004940057,0.000006713459,0.00162737,0.0001553384,0.00001202661,0.00003412479,0.00007686693,0.0001585828,0.000169951,0.0007496579,0.9969441,0.00001579997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005109251,0.00003194035,0.00007057021,0.00004571755,0.00001817109,0.00000629193,0.9981415,0.0006972238,0.0009374914],"genre_scores_gemma":[0.0001976471,0.00004147944,0.0002782909,0.00005413712,0.000005051751,0.00004511203,0.9984404,0.0002559056,0.0006819685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1926571,"threshold_uncertainty_score":0.644502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}