{"id":"W6924789013","doi":"10.15468/dl.r0e4tw","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; The Internet","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":[0.0009329963,0.001848913,0.00145924,0.004887956,0.0009673306,0.00235381,0.002764053,0.002077998,0.1416195],"category_scores_gemma":[0.005757164,0.0008418707,0.00109993,0.009495871,0.0004465694,0.002253781,0.00252988,0.001957499,0.2034784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626567,"about_ca_system_score_gemma":0.002245831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206201,"about_ca_topic_score_gemma":0.03412575,"domain_scores_codex":[0.999041,0.000134327,0.0001290758,0.0003266844,0.0002082327,0.0001606892],"domain_scores_gemma":[0.9977114,0.0006329319,0.0002176792,0.000621772,0.0005630404,0.0002531522],"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":[0.00002845798,0.00001193637,0.0004205746,0.000540693,0.00001454693,0.00001565255,0.00002663163,0.0001427922,0.000127131,0.0004105261,0.9966506,0.001610443],"study_design_scores_gemma":[0.00006122045,0.000007636302,0.001778426,0.000192616,0.00001296846,0.00003609707,0.000076925,0.0001590619,0.0001885228,0.0007233935,0.9967473,0.00001591946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004876351,0.00002864448,0.00004734275,0.00003669143,0.00001336044,0.000005432179,0.9987835,0.0003746527,0.0006615237],"genre_scores_gemma":[0.0001679648,0.0000320006,0.0002008505,0.0000414635,0.000003206773,0.00003878803,0.9989423,0.0001300839,0.0004432756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8583805,"threshold_uncertainty_score":0.4737644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}