{"id":"W4391808410","doi":"10.1371/journal.pgph.0002540","title":"Assembling a global health image: Ethical and pragmatic tensions through the lenses of photographers","year":2024,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University","funders":"Wellcome Trust","keywords":"Image (mathematics); Psychology; Aesthetics; Sociology; Optometry; Engineering ethics; Philosophy; Medicine; Computer science; Computer vision; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001872103,0.0002748297,0.0007592834,0.00008090122,0.0001999043,0.0002019514,0.0001962239,0.0001431403,0.00003209578],"category_scores_gemma":[0.002721467,0.0001760716,0.0001357592,0.001730053,0.0007365638,0.0003278911,0.0001393409,0.0008263344,0.00001977372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363304,"about_ca_system_score_gemma":0.003762769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559292,"about_ca_topic_score_gemma":0.00009874834,"domain_scores_codex":[0.9964049,0.0003400097,0.0008531435,0.0005134496,0.001028377,0.0008601326],"domain_scores_gemma":[0.9978384,0.0004176084,0.0002011902,0.0005226373,0.0002947303,0.0007253952],"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":[0.000166853,0.002202897,0.01970221,0.01731372,0.001561231,0.0003155518,0.00755032,0.00000474127,0.000366015,0.1479454,0.62025,0.182621],"study_design_scores_gemma":[0.01253049,0.01376533,0.1163471,0.03486042,0.001324322,0.01223841,0.03656113,0.02941115,0.0001086343,0.07681408,0.6638035,0.002235444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08757412,0.01506042,0.003919531,0.8742447,0.0005496326,0.001651841,0.0002424393,0.000560155,0.01619717],"genre_scores_gemma":[0.916066,0.00099844,0.007551851,0.0750389,0.0001854901,0.00003067239,0.00005740538,0.00003084805,0.00004040236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284919,"threshold_uncertainty_score":0.717999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06838428228625948,"score_gpt":0.4142222591484542,"score_spread":0.3458379768621948,"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."}}