{"id":"W6943318443","doi":"10.15468/dl.nc8k8h","title":"Occurrence Download","year":2021,"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; Set (abstract data type)","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":[0.000978985,0.001985579,0.001597775,0.004940809,0.0009737581,0.002597176,0.002848681,0.001892316,0.1679612],"category_scores_gemma":[0.005817935,0.0009360727,0.001176393,0.01010658,0.0004442448,0.002391639,0.002477482,0.001990463,0.2441346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498603,"about_ca_system_score_gemma":0.00220624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02157726,"about_ca_topic_score_gemma":0.03551718,"domain_scores_codex":[0.9989377,0.0001465176,0.0001304726,0.0003725177,0.0002400679,0.0001727686],"domain_scores_gemma":[0.9975743,0.0006745696,0.0002174974,0.0006637976,0.0006002897,0.0002695809],"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":[0.00002670528,0.000009773535,0.0003369039,0.0004556191,0.00001353904,0.0000131642,0.00002157075,0.0001262529,0.00009912928,0.0003664128,0.9971821,0.0013489],"study_design_scores_gemma":[0.00006494625,0.000007572473,0.001695246,0.000163011,0.00001292766,0.00003161252,0.00007069892,0.0001567604,0.0001780146,0.0008234122,0.996779,0.00001686372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003820685,0.0000238675,0.00004712883,0.00003244732,0.00001161416,0.000004740993,0.9987496,0.000429152,0.0006631793],"genre_scores_gemma":[0.0001514405,0.00002945391,0.000184127,0.00003859912,0.000003385215,0.00003631661,0.9989105,0.0001651977,0.0004808915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320388,"threshold_uncertainty_score":0.5618861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}