{"id":"W6924874224","doi":"10.15468/dl.tbahg3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012355,0.0002170162,0.0002029421,0.00006593703,0.0002264094,0.00009871517,0.0003554054,0.0001924814,0.02835705],"category_scores_gemma":[0.00003601928,0.0002571261,0.00008261397,0.0001619769,0.00004550793,0.0005998204,0.0002530038,0.0002893431,0.04288268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439559,"about_ca_system_score_gemma":0.00004019377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00018059,"about_ca_topic_score_gemma":0.000007096864,"domain_scores_codex":[0.9990394,0.00002448031,0.00028242,0.0001155671,0.0003055763,0.0002325157],"domain_scores_gemma":[0.9994982,0.0000104396,0.00007018943,0.0002700459,0.00005806461,0.00009306487],"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":[0.00001505516,0.000008445937,0.00001478878,0.0002772251,0.00002224753,0.000001395036,0.00002853398,0.006624643,2.026338e-7,7.134743e-8,0.9926845,0.0003229264],"study_design_scores_gemma":[0.0001517076,0.00001622846,0.000003258647,0.000001422089,0.0000334869,0.000003072023,0.00005865253,0.000006476283,0.000004305468,7.396196e-7,0.9994709,0.0002497305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007235744,0.00001972426,0.00004160816,0.00001307665,0.001574553,0.0001641285,0.9970947,0.0002675707,0.0001010689],"genre_scores_gemma":[0.00003849762,0.00009553957,0.000001250134,0.0001115175,0.000001424025,0.000005428933,0.9997463,1.723369e-8,2.426796e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01452563,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203997523618262,"score_gpt":0.1886719040667607,"score_spread":0.1766319288305781,"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."}}