{"id":"W4395571814","doi":"10.15468/dl.7klel6","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; Geography; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001380761,0.000288123,0.0002541314,0.00009340196,0.0001018284,0.0002038362,0.0004094754,0.000362428,0.0008716948],"category_scores_gemma":[0.00004380424,0.0003099795,0.0001170547,0.000329284,0.00007310604,0.0007126117,0.0001022127,0.0003481971,0.2674977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130517,"about_ca_system_score_gemma":0.00005457216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001194121,"about_ca_topic_score_gemma":0.000002354225,"domain_scores_codex":[0.9989275,0.00001931126,0.0002967746,0.0001488612,0.0003179067,0.0002896361],"domain_scores_gemma":[0.9992163,0.00001666951,0.0000922091,0.0004280574,0.000130869,0.0001158643],"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":[0.00001153397,0.000009461939,0.0003485189,0.0006973854,0.00003031428,9.180368e-7,0.00002393148,0.0001986866,1.175919e-7,2.947273e-9,0.9934767,0.005202366],"study_design_scores_gemma":[0.0001852928,0.00001236204,0.00001913647,0.000005291679,0.00003852932,0.00000409328,0.00004648605,0.000005610559,0.00001745867,2.622277e-7,0.9993421,0.0003233105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001993226,0.0001724943,0.00003677377,0.000009426395,0.001114719,0.0001872881,0.9977593,0.0002606928,0.0002599522],"genre_scores_gemma":[0.00003431936,0.0002162351,0.000003548029,0.0001639679,0.000001611506,0.000002128751,0.9995781,2.383054e-8,8.315068e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2666261,"threshold_uncertainty_score":0.9999352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444224130625211,"score_gpt":0.2132964533525142,"score_spread":0.1988542120462621,"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."}}