{"id":"W7099440508","doi":"","title":"ACKNOWLEDGEMENTS..................................................................................................................................... IX","year":2001,"lang":"en","type":"article","venue":"","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Government (linguistics); George (robot); Statistical analysis; Series (stratigraphy)","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","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.00936739,0.01194952,0.009115725,0.005756086,0.007039815,0.00285738,0.01424737,0.004844062,0.4309537],"category_scores_gemma":[0.005172485,0.01240902,0.006442313,0.02426631,0.00736299,0.01271934,0.009161813,0.008187445,0.3262373],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008677971,"about_ca_system_score_gemma":0.001570513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007713251,"about_ca_topic_score_gemma":0.002441346,"domain_scores_codex":[0.94018,0.003625432,0.01265247,0.01448643,0.01174807,0.01730759],"domain_scores_gemma":[0.9632815,0.003016031,0.005019226,0.01487349,0.003176677,0.01063313],"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":[0.003525922,0.004069252,0.2766008,0.0002009179,0.001498051,0.003226187,0.001049252,0.006775039,0.007119666,0.008702942,0.6239571,0.06327488],"study_design_scores_gemma":[0.01435298,0.001689302,0.03337001,0.0003354648,0.001185208,0.01148148,0.001255576,0.007664645,0.002138558,0.0171488,0.8948928,0.01448517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.239966,0.001221122,0.03571792,0.003567082,0.01028343,0.006533063,0.0002323105,0.01712115,0.685358],"genre_scores_gemma":[0.725186,0.003093532,0.04175606,0.01522538,0.008967941,0.008197522,0.001913393,0.005697604,0.1899625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4953955,"threshold_uncertainty_score":0.9988519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585364130651949,"score_gpt":0.2631781645243785,"score_spread":0.247324523217859,"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."}}