{"id":"W6905897958","doi":"10.15468/dl.nw5s9h","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":[0.0009091404,0.002042108,0.001498885,0.005031867,0.0009785281,0.002430877,0.002592142,0.001952438,0.1692053],"category_scores_gemma":[0.005671718,0.000879217,0.001170385,0.00987405,0.0004503609,0.002072461,0.002479462,0.001774537,0.2288286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463222,"about_ca_system_score_gemma":0.002270895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063112,"about_ca_topic_score_gemma":0.0337298,"domain_scores_codex":[0.9990236,0.0001331162,0.0001212185,0.0003498357,0.0002041379,0.000168119],"domain_scores_gemma":[0.997704,0.0006666552,0.0002211587,0.0005805594,0.0005679908,0.0002597326],"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":[0.00003024395,0.00001160332,0.0003934627,0.0005045153,0.00001313168,0.00001431956,0.00002159627,0.0001235106,0.000114318,0.0003418149,0.9969734,0.001457996],"study_design_scores_gemma":[0.00007784602,0.00001065872,0.001917907,0.0001843052,0.00001450495,0.00003718041,0.00007175247,0.0001572146,0.0001920917,0.0007894777,0.9965284,0.00001859137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004911227,0.00002707136,0.00004033771,0.00003353919,0.00001255627,0.000005323671,0.9987975,0.0003766403,0.0006578422],"genre_scores_gemma":[0.0001697779,0.00003363675,0.0001952004,0.00004571161,0.000003823701,0.00004512614,0.9988537,0.000150641,0.0005025109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307947,"threshold_uncertainty_score":0.5660483,"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."}}