{"id":"W6961991713","doi":"10.15468/dl.p36dxp","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); Species name","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":[0.001132892,0.001976149,0.001645861,0.005409445,0.001037506,0.002810152,0.002892838,0.002068898,0.1671104],"category_scores_gemma":[0.006607902,0.0009675887,0.001149621,0.01027378,0.0004654774,0.002440265,0.002621881,0.002052385,0.2284086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602233,"about_ca_system_score_gemma":0.002424426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070842,"about_ca_topic_score_gemma":0.03378878,"domain_scores_codex":[0.9988431,0.0001577293,0.0001536162,0.0004087851,0.0002550352,0.0001817501],"domain_scores_gemma":[0.9972971,0.0008062293,0.0002550505,0.0007028433,0.0006305422,0.0003081914],"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":[0.00002832727,0.00001062697,0.0003695149,0.0005296551,0.00001519699,0.00001505571,0.0000238427,0.0001157634,0.0001187716,0.0003962638,0.9969805,0.001396427],"study_design_scores_gemma":[0.00006608468,0.000007237988,0.001764508,0.0001922493,0.00001446577,0.00003812754,0.00007114078,0.0001385457,0.0001776284,0.0007667412,0.9967458,0.00001741519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003703208,0.00002614366,0.00004750353,0.00003388426,0.00001142784,0.000004669029,0.9988703,0.0003652701,0.0006036538],"genre_scores_gemma":[0.0001509279,0.00003293298,0.0001947321,0.00004208502,0.000003326322,0.00003854925,0.9989461,0.0001587615,0.0004325646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8328896,"threshold_uncertainty_score":0.55904,"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."}}