{"id":"W6924376210","doi":"10.15468/dl.ko9lsl","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); Information system; Confidentiality","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":[0.0009353631,0.001867604,0.00157969,0.005767286,0.000935458,0.002494609,0.002653006,0.001851043,0.1820145],"category_scores_gemma":[0.005806035,0.0008419682,0.001172696,0.01087879,0.0004122981,0.0023015,0.002764588,0.001819007,0.2507831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493441,"about_ca_system_score_gemma":0.002332826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02020177,"about_ca_topic_score_gemma":0.03498952,"domain_scores_codex":[0.9989194,0.0001359226,0.0001466115,0.0003682995,0.0002420463,0.0001877219],"domain_scores_gemma":[0.9974574,0.0006392929,0.000249565,0.0006706808,0.0006683057,0.0003147831],"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":[0.00002695423,0.000008929855,0.0003440336,0.0005424023,0.00001520966,0.00001363956,0.00002033179,0.000102614,0.000123203,0.0003570772,0.9969602,0.001485419],"study_design_scores_gemma":[0.00005983514,0.000007721257,0.00183865,0.0001855257,0.00001460019,0.00003339443,0.00006130172,0.0001102784,0.0001762603,0.0006631407,0.9968328,0.00001643277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000340452,0.00002660663,0.00003755785,0.00002925131,0.00001139045,0.000004610959,0.9989281,0.0003196883,0.0006087468],"genre_scores_gemma":[0.0001404726,0.00003437352,0.0001636034,0.0000401725,0.000003511788,0.00003310954,0.9989858,0.0001288842,0.0004699935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8179855,"threshold_uncertainty_score":0.6088991,"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."}}