{"id":"W6887147598","doi":"10.15468/dl.mneh35","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); Data set","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":[0.0009545044,0.001994933,0.001601839,0.004824925,0.0009912447,0.002616368,0.002808255,0.00208278,0.1707747],"category_scores_gemma":[0.005752744,0.0009225787,0.001121499,0.009600258,0.0004578577,0.002445666,0.002589959,0.002030775,0.2309933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152198,"about_ca_system_score_gemma":0.002263123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040775,"about_ca_topic_score_gemma":0.03571564,"domain_scores_codex":[0.9990013,0.0001389453,0.0001212135,0.0003572394,0.0002157873,0.0001654535],"domain_scores_gemma":[0.997566,0.0006997529,0.0002284496,0.0006523707,0.0005708913,0.0002825791],"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":[0.00002766854,0.00001076541,0.0003436706,0.0005112547,0.00001348111,0.00001447148,0.0000237057,0.0001193691,0.000105558,0.000374544,0.9971724,0.001283251],"study_design_scores_gemma":[0.00007245782,0.000007275275,0.001680318,0.0001757285,0.00001263681,0.0000344698,0.00007064419,0.0001391749,0.0001694873,0.0008467874,0.9967733,0.00001756857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003760159,0.00002291408,0.00004334773,0.0000324627,0.00001063091,0.000004793004,0.9988686,0.0003594155,0.0006202597],"genre_scores_gemma":[0.0001624937,0.00003007988,0.0002013027,0.00004482582,0.000003458825,0.0000424293,0.998875,0.00016201,0.000478361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8292253,"threshold_uncertainty_score":0.5712982,"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."}}