{"id":"W2150740624","doi":"10.1177/160940690600500301","title":"Photo Elicitation Interview (PEI): Using Photos to Elicit Children's Perspectives","year":2006,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":556,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Photo elicitation; Variety (cybernetics); Context (archaeology); Psychology; Medical education; Applied psychology; Computer science; Medicine; Knowledge management; History; Artificial intelligence","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03776875,0.0001946542,0.0004317859,0.0007708631,0.0002470021,0.000212837,0.0008963521,0.00008924944,0.0004958122],"category_scores_gemma":[0.01361786,0.0001817836,0.00030502,0.0006671781,0.0004338918,0.0006911234,0.0001107422,0.0003755003,0.00002289902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009950377,"about_ca_system_score_gemma":0.0004987338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002680534,"about_ca_topic_score_gemma":0.0001618114,"domain_scores_codex":[0.9743393,0.02215926,0.0009945346,0.0002829778,0.001787768,0.0004361826],"domain_scores_gemma":[0.9921927,0.003593146,0.0007147455,0.0001349589,0.003072526,0.0002918739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005288802,0.0007561595,0.001618314,0.00001770804,0.0008574681,0.00005333866,0.6247026,0.0005400795,0.1257617,0.1514456,0.001581002,0.0921372],"study_design_scores_gemma":[0.003494275,0.001380739,0.03283715,0.001055657,0.0002623845,0.0001021297,0.5816849,0.001587966,0.1147374,0.1730738,0.08829785,0.00148574],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4520727,0.0005322217,0.5414968,0.001791915,0.0006344698,0.0002737299,0.00001872291,0.00001980722,0.0031596],"genre_scores_gemma":[0.4962161,0.00005714432,0.5018774,0.0003975362,0.001065719,0.00001620801,0.000002093817,0.00002535928,0.0003424128],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09065146,"threshold_uncertainty_score":0.9946908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.908274780118013,"score_gpt":0.7899366658929929,"score_spread":0.1183381142250201,"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."}}