{"id":"W6962439436","doi":"10.15468/dl.prcqk9","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; Identification (biology)","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":[0.001057427,0.001957784,0.001650509,0.004939492,0.001023187,0.002694766,0.002938342,0.002152868,0.1551329],"category_scores_gemma":[0.006013501,0.0009500015,0.001184003,0.009806469,0.0004424557,0.0025021,0.002552176,0.002076494,0.2164957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587384,"about_ca_system_score_gemma":0.002303743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01962651,"about_ca_topic_score_gemma":0.03416523,"domain_scores_codex":[0.9989028,0.0001552256,0.0001408008,0.000386147,0.0002401314,0.0001749137],"domain_scores_gemma":[0.9974368,0.0007262533,0.0002393774,0.0006925729,0.0006104955,0.0002945487],"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":[0.00002930208,0.00001220599,0.0003637347,0.0005342945,0.00001502102,0.00001483563,0.00002237645,0.0001211375,0.0001178682,0.000396478,0.9970516,0.001321186],"study_design_scores_gemma":[0.00007151785,0.000007964401,0.001761174,0.0001787311,0.00001361128,0.00003566971,0.00006769676,0.0001386767,0.0001817806,0.0007769318,0.9967488,0.00001748393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004159903,0.00002672174,0.00004591543,0.00003609612,0.00001191731,0.000005274796,0.9988497,0.0003428827,0.0006398638],"genre_scores_gemma":[0.0001499832,0.00003211847,0.0001901934,0.00004344946,0.000003314676,0.00004098858,0.9989457,0.0001331378,0.000461143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8448671,"threshold_uncertainty_score":0.5189714,"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."}}