{"id":"W6943459452","doi":"10.15468/dl.tzkttf","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); Data set; 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":[0.00113347,0.001992327,0.001622374,0.005287237,0.001072394,0.002721099,0.002930359,0.002070159,0.1740133],"category_scores_gemma":[0.006365015,0.0009802361,0.00116558,0.01023942,0.0004731703,0.002409282,0.002677515,0.002073073,0.2306937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656189,"about_ca_system_score_gemma":0.002483523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259105,"about_ca_topic_score_gemma":0.03654683,"domain_scores_codex":[0.9988656,0.0001551816,0.0001528448,0.0003897129,0.0002546798,0.0001819552],"domain_scores_gemma":[0.9972025,0.0008021994,0.0002554482,0.0007349639,0.0007079213,0.0002969333],"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":[0.00002835878,0.00001128056,0.0003652878,0.0005457596,0.00001508114,0.00001659847,0.00002676521,0.0001137658,0.0001244428,0.0004085201,0.9970067,0.00133745],"study_design_scores_gemma":[0.00006589257,0.000006803602,0.001717417,0.0001731879,0.00001351245,0.00003716009,0.00007503361,0.0001204138,0.000185623,0.0007085711,0.9968783,0.00001811728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003663492,0.00002306441,0.00004847353,0.00003319875,0.00001146465,0.00000514345,0.9988386,0.000354949,0.0006484573],"genre_scores_gemma":[0.0001521476,0.00003091464,0.0002040979,0.00004054361,0.000003249789,0.0000426421,0.9988995,0.0001636554,0.0004632324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8259866,"threshold_uncertainty_score":0.5821326,"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."}}