{"id":"W6887022625","doi":"10.15468/dl.k9b6xx","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001112158,0.001954576,0.001615822,0.005019149,0.001058351,0.002804767,0.002938919,0.002055546,0.1893468],"category_scores_gemma":[0.006602332,0.0009956734,0.001140861,0.00989008,0.0004497349,0.00251319,0.002688234,0.002049417,0.2546501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615009,"about_ca_system_score_gemma":0.002458623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129544,"about_ca_topic_score_gemma":0.0354602,"domain_scores_codex":[0.9988726,0.0001509635,0.0001450836,0.0003952631,0.0002527305,0.0001834574],"domain_scores_gemma":[0.9973676,0.0007579749,0.0002392469,0.0006825037,0.0006436381,0.0003091576],"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":[0.00002521345,0.000009153775,0.0003005548,0.0004508457,0.00001227106,0.00001260017,0.00002041801,0.00009419733,0.00009434954,0.0003638756,0.9973933,0.001223186],"study_design_scores_gemma":[0.00006294638,0.000006451218,0.001526928,0.0001801935,0.00001250604,0.00003259989,0.00006543202,0.0001231187,0.000168691,0.0007550824,0.9970498,0.00001618423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003143587,0.00002226414,0.00004386906,0.00003328406,0.00001134921,0.000004625816,0.9988426,0.0003467004,0.000663959],"genre_scores_gemma":[0.0001384228,0.00003101074,0.0001890813,0.0000447785,0.000003459767,0.00003907428,0.9988859,0.0001679026,0.0005003048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8106532,"threshold_uncertainty_score":0.6334283,"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."}}