{"id":"W6905881342","doi":"10.15468/dl.scj7fv","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); Task (project management)","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":[0.0009084988,0.002133783,0.001540063,0.00507671,0.0009690245,0.002456524,0.002631311,0.001951187,0.1645127],"category_scores_gemma":[0.005790842,0.0009144158,0.001211912,0.009864925,0.0004487761,0.002103276,0.002518638,0.001778388,0.2256551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144036,"about_ca_system_score_gemma":0.002267283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031283,"about_ca_topic_score_gemma":0.03290812,"domain_scores_codex":[0.9990011,0.0001341429,0.0001258816,0.000361335,0.0002073125,0.0001701872],"domain_scores_gemma":[0.9976519,0.0006780697,0.0002255052,0.0005946718,0.0005842678,0.0002656356],"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":[0.00003377656,0.00001230508,0.0004186592,0.0005690397,0.00001489744,0.00001583264,0.0000232516,0.0001329736,0.000137995,0.0003508738,0.9967681,0.001522266],"study_design_scores_gemma":[0.00008023409,0.00001085426,0.001929743,0.0001892409,0.00001604238,0.00003859981,0.00006998728,0.0001532271,0.0002164701,0.0007746642,0.9965013,0.00001950618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000049423,0.00002827477,0.00004164156,0.00003249131,0.00001255978,0.000005299065,0.9987807,0.0004076711,0.0006419827],"genre_scores_gemma":[0.000166818,0.00003463701,0.0001974863,0.00004566365,0.000003726416,0.00004372195,0.9988738,0.0001621827,0.0004718961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8354873,"threshold_uncertainty_score":0.5503498,"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."}}