{"id":"W6887243546","doi":"10.15468/dl.xx2jr4","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":[0.001108633,0.001924186,0.001569746,0.005141128,0.001030151,0.002616093,0.002806573,0.001966475,0.1654587],"category_scores_gemma":[0.00646102,0.0009423018,0.001103716,0.01011814,0.0004491125,0.002298813,0.002623725,0.001998261,0.2202693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678136,"about_ca_system_score_gemma":0.002427868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371771,"about_ca_topic_score_gemma":0.03824125,"domain_scores_codex":[0.9989082,0.0001463415,0.0001426248,0.0003699262,0.000252116,0.0001808794],"domain_scores_gemma":[0.9973496,0.0007619644,0.0002544425,0.0006708278,0.0006649367,0.0002981394],"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":[0.00002768497,0.00001036002,0.0003641135,0.0005207427,0.00001410575,0.00001506514,0.00002593152,0.0001143329,0.0001162912,0.0004141374,0.9970514,0.001325901],"study_design_scores_gemma":[0.00006625627,0.000006956665,0.001805322,0.0001886955,0.00001345305,0.00003622407,0.000073715,0.0001286194,0.0001789692,0.0007287579,0.9967555,0.0000175246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003621991,0.0000225495,0.00004465177,0.00003270583,0.00001057725,0.000004650869,0.9988802,0.0003387789,0.0006296563],"genre_scores_gemma":[0.0001504814,0.00002991065,0.0001933347,0.00004073454,0.000003119307,0.00003988743,0.998937,0.0001580717,0.0004473648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345413,"threshold_uncertainty_score":0.5535146,"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."}}