{"id":"W6906038618","doi":"10.15468/dl.szz44x","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); Range (aeronautics); Download; Set (abstract data type); 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":[0.001019208,0.002004357,0.001613268,0.005276451,0.001072085,0.002758602,0.002885921,0.001931581,0.1808],"category_scores_gemma":[0.006615042,0.001036385,0.001171891,0.01062795,0.000445598,0.00240975,0.002620636,0.001989849,0.2371654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614901,"about_ca_system_score_gemma":0.002487535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178314,"about_ca_topic_score_gemma":0.03800955,"domain_scores_codex":[0.998823,0.000156561,0.0001596102,0.0004151637,0.000264016,0.000181709],"domain_scores_gemma":[0.9972575,0.0007792321,0.0002584679,0.0006957319,0.0007172232,0.0002918589],"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":[0.00002850512,0.000009428642,0.0003297179,0.0005067259,0.00001357209,0.00001387296,0.00002230475,0.0001001342,0.0001099387,0.0003999125,0.9971106,0.001355203],"study_design_scores_gemma":[0.0000588478,0.000006581743,0.001496853,0.0001713684,0.00001304385,0.00003371165,0.00005655226,0.0001039538,0.000170441,0.0007464881,0.9971247,0.00001738004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003314679,0.00002350547,0.00004561824,0.00003034729,0.00001071764,0.000004473055,0.9987963,0.0003440394,0.0007118286],"genre_scores_gemma":[0.0001433711,0.00003334627,0.0002069375,0.00004495087,0.00000337145,0.00004030676,0.9988093,0.0001827106,0.0005356608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8192,"threshold_uncertainty_score":0.6048363,"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."}}