{"id":"W6924556843","doi":"10.15468/dl.mj1gcv","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001276767,0.0003364117,0.0002609192,0.0000915597,0.00008608666,0.00008888023,0.0005325454,0.0003840564,0.001327694],"category_scores_gemma":[0.00005053672,0.000330968,0.0001219739,0.0001849365,0.00008015803,0.0007889675,0.0001801589,0.0002749876,0.2686946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004740258,"about_ca_system_score_gemma":0.00003295294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002665513,"about_ca_topic_score_gemma":0.000003331642,"domain_scores_codex":[0.9988418,0.00001809019,0.0003199764,0.0001466015,0.0003273492,0.0003461742],"domain_scores_gemma":[0.9990866,0.0000150117,0.00007982598,0.0005627606,0.00009170637,0.0001641272],"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":[0.000009128939,0.000006925433,0.00002727696,0.0002304751,0.00004262017,0.000001943087,0.00001538791,0.0008128368,4.705458e-7,7.869056e-8,0.9964869,0.002365945],"study_design_scores_gemma":[0.0002297308,0.00001197014,0.00003379783,0.000006099309,0.00002768926,0.000004905803,0.000009394221,0.000004890619,0.000007993462,5.609205e-7,0.9992902,0.0003728216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002422538,0.00002616249,0.00005330301,0.00003634823,0.001129248,0.0001863533,0.9973162,0.0006170823,0.0003930029],"genre_scores_gemma":[0.00005441779,0.0001269,0.00000242942,0.00009584516,0.000003612071,0.000002664357,0.999714,6.227577e-8,1.053376e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2673669,"threshold_uncertainty_score":0.9999142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007808726010512496,"score_gpt":0.1805010812832617,"score_spread":0.1726923552727492,"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."}}