{"id":"W6943445611","doi":"10.15468/dl.t39jse","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); Range (aeronautics); Download; 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":[0.001016902,0.002126495,0.001710658,0.005165731,0.001017994,0.002777942,0.002893596,0.002003056,0.1625563],"category_scores_gemma":[0.006260919,0.0009884994,0.001265253,0.01031757,0.0004337758,0.002471252,0.002729317,0.001978577,0.2285482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547339,"about_ca_system_score_gemma":0.002401098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01914616,"about_ca_topic_score_gemma":0.03268873,"domain_scores_codex":[0.9987974,0.000171798,0.0001649989,0.0004268475,0.0002511627,0.0001878078],"domain_scores_gemma":[0.9973456,0.0007155689,0.0002534023,0.0007114718,0.0006819208,0.0002920094],"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":[0.00003657312,0.00001158966,0.0003556665,0.0006165758,0.00001699871,0.00001433325,0.00002061852,0.0001170604,0.0001245807,0.0003934824,0.9968055,0.001486999],"study_design_scores_gemma":[0.00007317735,0.000008844268,0.001554686,0.0001768522,0.00001498003,0.00003366686,0.00005466344,0.0001226864,0.0001744211,0.0007937651,0.9969742,0.00001811745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003508858,0.00002784195,0.00004039345,0.00003235574,0.0000113296,0.000005031101,0.998908,0.0003366696,0.0006032711],"genre_scores_gemma":[0.0001410464,0.00003744759,0.0001947238,0.00005139453,0.000003688585,0.00004156851,0.9988998,0.0001387994,0.0004915352],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374437,"threshold_uncertainty_score":0.543805,"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."}}