{"id":"W4293241336","doi":"10.37268/mjphm/vol.22/no.1/art.1519","title":"PHOTOVOICE METHOD TRENDS, STATUS AND POTENTIAL FOR FUTURE PARTICIPATORY RESEARCH APPROACH","year":2022,"lang":"en","type":"article","venue":"Malaysian Journal of Public Health Medicine","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photovoice; Participatory action research; Bibliometrics; Citizen journalism; Citation; Sociology; Data science; Political science; Public relations; Library science; Computer science; World Wide Web; Economic growth","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2096846,0.000710369,0.001226207,0.01342728,0.006720513,0.01667565,0.003751822,0.002401578,0.008023645],"category_scores_gemma":[0.1948955,0.0007883613,0.001363109,0.01939341,0.007069182,0.01677633,0.009161958,0.002986138,0.001793147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01131416,"about_ca_system_score_gemma":0.02472538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004961289,"about_ca_topic_score_gemma":0.00876982,"domain_scores_codex":[0.7574034,0.1957932,0.00744629,0.0101645,0.02628767,0.002905006],"domain_scores_gemma":[0.6757599,0.220788,0.02167925,0.033636,0.04290923,0.005227607],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005547843,0.0004830186,0.03191772,0.007728652,0.0003458493,0.0004098849,0.1507785,0.0008608776,0.003482101,0.1345692,0.01290452,0.6559648],"study_design_scores_gemma":[0.0002842506,0.0008621465,0.03602361,0.01224739,0.0002326868,0.0008542836,0.2256368,0.006037894,0.004579716,0.1642299,0.5486912,0.0003200698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2231858,0.0445055,0.4351428,0.1177556,0.003745113,0.01500118,0.002338062,0.0009435873,0.1573824],"genre_scores_gemma":[0.6031477,0.01704189,0.3342448,0.005695031,0.001098783,0.02055041,0.0009771173,0.000396889,0.01684741],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7903154,"threshold_uncertainty_score":0.9745996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3310980994821834,"score_gpt":0.5266962353638467,"score_spread":0.1955981358816632,"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."}}