{"id":"W6926720477","doi":"10.25446/oxford.25928032","title":"Eastman Kodak's Kodakids: Britain's Young Ambassadors from Harrow","year":2024,"lang":"en","type":"other","venue":"University of Oxford","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Government (linguistics); Population; Harrow","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002662003,0.000444469,0.000150485,0.0003265594,0.003741649,0.001836576,0.0003139805,0.0008769848,0.07079794],"category_scores_gemma":[0.0005732329,0.0002009082,0.0001094535,0.0002972117,0.0006373355,0.001029877,0.001237855,0.001395193,0.01168375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007011723,"about_ca_system_score_gemma":0.001397675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02398836,"about_ca_topic_score_gemma":0.122703,"domain_scores_codex":[0.9998134,0.00003490715,0.000006812092,0.00002474947,0.00004691682,0.00007329552],"domain_scores_gemma":[0.9996195,0.00002520684,0.00002002694,0.00001197507,0.0000442517,0.0002790556],"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":[0.00005955148,0.00005936328,0.004249641,0.0001150264,0.000002900153,0.002130599,0.003339821,0.00001696225,0.0008946316,0.002762528,0.9060146,0.08035437],"study_design_scores_gemma":[0.000005091541,0.00002571835,0.007014648,0.00009768033,0.000002242823,0.0008845229,0.004218276,0.000010663,0.0002073056,0.0002326034,0.9872938,0.000007429452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06862248,0.03179397,0.0003922021,0.1113093,0.01165288,0.00008365443,0.0006027182,0.0004602753,0.7750825],"genre_scores_gemma":[0.04355334,0.009096737,0.0003099197,0.009538974,0.0004991689,0.00001796993,0.0001052539,0.000100501,0.9367781],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07079794,"threshold_uncertainty_score":0.2368428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003953917826486796,"score_gpt":0.1858562281121879,"score_spread":0.1819023102857011,"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."}}