{"id":"W6911131083","doi":"10.5064/f6g2petf/ijkn76","title":"Moore-et-al_MD_0221_Maryland Department of Health Maryland Department of Health brings mobile sound truck to Prince George’s County .pdf","year":2025,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Truck; Sound (geography); Health department; Work (physics)","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"],"consensus_categories":[],"category_scores_codex":[0.007502203,0.001205005,0.003133287,0.00126174,0.0007685622,0.00008655185,0.003553032,0.0003978506,0.00008958496],"category_scores_gemma":[0.0004413824,0.001353844,0.0003436193,0.001011938,0.0007832792,0.0009336854,0.004331273,0.00094016,0.0001116799],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004215547,"about_ca_system_score_gemma":0.005360648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04456005,"about_ca_topic_score_gemma":0.00863963,"domain_scores_codex":[0.983826,0.007681162,0.002699448,0.00251515,0.002058638,0.001219626],"domain_scores_gemma":[0.9870706,0.001704095,0.00494675,0.004747805,0.0008261584,0.0007046553],"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":[0.001396374,0.001646334,0.0003578198,0.004142164,0.00149859,0.000128583,0.004578195,0.00008293083,0.00004572582,0.0002442331,0.9857412,0.0001378568],"study_design_scores_gemma":[0.002219186,0.00147535,0.001397613,0.001512701,0.0004523104,0.00002574603,0.01142499,0.000006507371,0.0001265168,0.0000441946,0.9803226,0.0009922885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01362951,0.001355893,0.0003930182,0.0003412746,0.0006215483,0.004609562,0.9786029,0.0001043108,0.0003419167],"genre_scores_gemma":[0.001543746,0.0007607411,0.001887669,0.0004797215,0.00005899199,0.00003272864,0.9932238,0.00007194377,0.001940693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03592042,"threshold_uncertainty_score":0.9996071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03775253075310566,"score_gpt":0.3591629281437617,"score_spread":0.321410397390656,"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."}}