{"id":"W6943231850","doi":"10.15468/dl.mwtbd8","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); Set (abstract data type)","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":[0.0009245124,0.002023653,0.001582518,0.005107178,0.001038806,0.002537018,0.002768692,0.001954484,0.1713128],"category_scores_gemma":[0.005600298,0.0009483641,0.001155243,0.01030445,0.0004360327,0.002358376,0.002618086,0.001944303,0.2298312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598298,"about_ca_system_score_gemma":0.002301128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02187392,"about_ca_topic_score_gemma":0.03724453,"domain_scores_codex":[0.9989489,0.0001377184,0.0001315828,0.0003766029,0.00022729,0.0001779603],"domain_scores_gemma":[0.997658,0.0006369638,0.0002242415,0.0005948562,0.000607634,0.0002783079],"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":[0.0000306885,0.00001078988,0.0003529973,0.0005278371,0.00001354054,0.00001437361,0.00002145711,0.0001075085,0.0001226105,0.0003837261,0.9970815,0.001332914],"study_design_scores_gemma":[0.00006969313,0.000008573166,0.001787046,0.0001714699,0.00001333443,0.00003530579,0.00006123411,0.0001186649,0.0001772387,0.0007320828,0.996808,0.00001740345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004003362,0.00002497389,0.00003892017,0.00003111735,0.00001122889,0.000004640477,0.9988502,0.0003234013,0.0006753863],"genre_scores_gemma":[0.0001390959,0.00003214234,0.0001760994,0.00004388706,0.00000332077,0.00003771154,0.9989083,0.0001465046,0.0005129718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8286873,"threshold_uncertainty_score":0.5730983,"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."}}