{"id":"W6906031553","doi":"10.15468/dl.s4k2xs","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":"Matching (statistics); Download; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0008791081,0.002037405,0.001510046,0.004782627,0.0009549327,0.002424355,0.002771257,0.001934563,0.1529115],"category_scores_gemma":[0.00543148,0.0009089819,0.001145093,0.009532921,0.0004408481,0.002216878,0.002481414,0.001903116,0.212442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149396,"about_ca_system_score_gemma":0.002215909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202086,"about_ca_topic_score_gemma":0.03443056,"domain_scores_codex":[0.9989973,0.0001364302,0.0001230126,0.0003617393,0.0002115668,0.0001699627],"domain_scores_gemma":[0.9977826,0.0006080943,0.0002199643,0.000574666,0.0005499225,0.0002648136],"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":[0.00003106685,0.00001103507,0.0003900553,0.0005049119,0.0000141423,0.00001408819,0.00002028842,0.0001249278,0.0001138985,0.0003674755,0.9970325,0.001375458],"study_design_scores_gemma":[0.00007402594,0.000009326764,0.001857036,0.0001795345,0.00001417214,0.00003819261,0.00006331273,0.0001436167,0.0001849348,0.0008108958,0.9966071,0.00001791102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004326289,0.00002648303,0.00003804612,0.00003066775,0.00001169666,0.000004399557,0.9989103,0.0003108563,0.0006242563],"genre_scores_gemma":[0.0001500425,0.00003144431,0.0001724423,0.00004336249,0.000003327751,0.00003526035,0.998979,0.0001259264,0.0004591898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8470885,"threshold_uncertainty_score":0.5115399,"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."}}