{"id":"W6887001928","doi":"10.15468/dl.nh5u8e","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); Listing (finance); Range (aeronautics); Order (exchange)","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":["insufficient_payload"],"category_scores_codex":[0.0009167757,0.002375073,0.002046805,0.005757129,0.001531684,0.004777172,0.003485284,0.00265156,0.3815171],"category_scores_gemma":[0.007305451,0.001107778,0.001710243,0.009549364,0.0004593501,0.004996502,0.00489665,0.002264516,0.5333341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719064,"about_ca_system_score_gemma":0.002289018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01692608,"about_ca_topic_score_gemma":0.03397834,"domain_scores_codex":[0.998753,0.0001353923,0.0001463048,0.0004469539,0.0002968642,0.0002215819],"domain_scores_gemma":[0.9972426,0.0006344262,0.0001869929,0.0007209715,0.0008550856,0.0003599437],"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":[0.0000315725,0.00001041883,0.000293343,0.0005363799,0.00001147235,0.00001794389,0.00002404925,0.00007013562,0.00007889298,0.0003923008,0.9952733,0.003260215],"study_design_scores_gemma":[0.00003480426,0.000007665397,0.0008694513,0.0001800508,0.00000969352,0.00003722329,0.00007228887,0.0001479259,0.0001353164,0.001023652,0.9974657,0.00001620932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000569421,0.00007701084,0.0001479019,0.00009010034,0.00003770361,0.00001155218,0.9939284,0.002481811,0.003168538],"genre_scores_gemma":[0.0003093135,0.0001054025,0.0005854818,0.0001722376,0.00001421161,0.0000602523,0.9954032,0.0009356329,0.002414363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6184829,"threshold_uncertainty_score":0.8821909,"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."}}