{"id":"W6889225998","doi":"10.25549/impa-m5124","title":"Maryknoll priests with students at Jiangmen, China, 1930.","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); China; Meaning (existential); Head (geology)","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":[0.0000506602,0.0003760833,0.0003964318,0.0002547154,0.0001838558,0.0002453719,0.003421213,0.0003180752,0.00152114],"category_scores_gemma":[0.000008872026,0.0003506113,0.0001140238,0.0005186775,0.0003650424,0.0009762862,0.004063583,0.0002914324,0.01485995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000618,"about_ca_system_score_gemma":0.0001453845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001806029,"about_ca_topic_score_gemma":0.00000727361,"domain_scores_codex":[0.9982165,0.00003761995,0.0002091835,0.000511983,0.0006129167,0.0004118415],"domain_scores_gemma":[0.9982805,0.00004278937,0.0004099401,0.001091102,0.0000359205,0.0001397477],"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":[0.00004384376,0.0001485581,0.006211974,0.00008199794,0.0001034273,0.00008414732,0.00005176867,0.00001567997,1.647436e-7,0.00001615936,0.9915252,0.001717102],"study_design_scores_gemma":[0.0003852641,0.00007503715,0.00006306023,0.0001222387,0.00003588602,0.00001708361,0.00009725554,0.00003676675,0.00001203243,0.0001851338,0.9985604,0.0004098507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007215644,0.0002140164,0.001839298,0.0002067073,0.00005196911,0.0002551296,0.9954649,0.0005022032,0.0007442765],"genre_scores_gemma":[0.0008250275,0.00008144969,0.002271002,0.00005978652,0.00007102676,5.919418e-7,0.9919298,0.00004049834,0.004720825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01333881,"threshold_uncertainty_score":0.9998946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003754109154499176,"score_gpt":0.1546993745279866,"score_spread":0.1509452653734874,"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."}}