{"id":"W6962131074","doi":"10.15468/dl.qgy7st","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; Alien; Range (aeronautics); State (computer science)","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":[0.0009003206,0.002059583,0.001494045,0.004948655,0.0009654394,0.002439405,0.002545042,0.001936486,0.163982],"category_scores_gemma":[0.005809578,0.0008862924,0.001180553,0.009781239,0.0004396228,0.002085998,0.00246786,0.001755913,0.2226688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431839,"about_ca_system_score_gemma":0.00227129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045673,"about_ca_topic_score_gemma":0.03258363,"domain_scores_codex":[0.9990007,0.0001347457,0.0001259233,0.0003580721,0.0002087878,0.0001717692],"domain_scores_gemma":[0.9976625,0.0006749558,0.0002230698,0.0005853687,0.000589575,0.0002644903],"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":[0.00003399023,0.00001217192,0.0004222296,0.0005546184,0.00001402124,0.00001519685,0.00002204095,0.0001305357,0.0001315532,0.0003542318,0.9967998,0.001509708],"study_design_scores_gemma":[0.00008101201,0.00001113264,0.001977689,0.0001922416,0.00001528538,0.00003710288,0.00007045564,0.0001603041,0.0002090147,0.0007866857,0.9964402,0.00001885921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004836489,0.00002721148,0.0000393427,0.00003323215,0.00001236089,0.000005247814,0.9988247,0.0003721201,0.0006375122],"genre_scores_gemma":[0.0001711371,0.00003438773,0.000190701,0.00004634163,0.000003792636,0.00004333109,0.9988757,0.000147486,0.0004870775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836018,"threshold_uncertainty_score":0.5485743,"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."}}