{"id":"W6887188088","doi":"10.15468/dl.sqs23u","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); Alien; The Internet","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":[0.0009812083,0.00198117,0.001580287,0.00499753,0.0009751302,0.002617928,0.002644013,0.00216511,0.1499493],"category_scores_gemma":[0.00631707,0.0008607337,0.001276823,0.009000221,0.0004366202,0.002393761,0.002563165,0.001931455,0.2136489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149187,"about_ca_system_score_gemma":0.002219291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987031,"about_ca_topic_score_gemma":0.03079399,"domain_scores_codex":[0.9989308,0.0001512656,0.0001393533,0.0003771834,0.0002280277,0.0001734052],"domain_scores_gemma":[0.997327,0.0008130638,0.000236555,0.0007002039,0.0006399931,0.0002831285],"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":[0.00003100877,0.00001270681,0.0004429772,0.0005848604,0.00001537108,0.00001672175,0.00002344878,0.0001353074,0.0001115827,0.0003367185,0.9967594,0.00152999],"study_design_scores_gemma":[0.00008113925,0.0000109666,0.002211561,0.0002287434,0.00001620273,0.00004246661,0.0000866923,0.0002036587,0.0001929855,0.0007873493,0.9961187,0.00001956847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004889598,0.00003079018,0.00004416799,0.00004319444,0.00001435564,0.000006112718,0.9988042,0.0004299089,0.0005783893],"genre_scores_gemma":[0.0001846913,0.00003754318,0.0002022541,0.00005162275,0.000004474055,0.00004611684,0.9988713,0.0001435046,0.0004584571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8500507,"threshold_uncertainty_score":0.5016303,"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."}}