{"id":"W2037105470","doi":"10.1016/j.socscimed.2015.03.040","title":"Visualizing harm reduction: Methodological and ethical considerations","year":2015,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Carleton University; Casey House; Simon Fraser University; McMaster University; Public Health Ontario; York University","funders":"Canadian Institutes of Health Research; Ontario HIV Treatment Network; Centre for Addiction and Mental Health","keywords":"Harm reduction; Photovoice; Photo elicitation; Context (archaeology); Confidentiality; Psychology; Sociology; Public relations; Internet privacy; Medicine; Public health; Nursing; Computer science; Political science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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","sts"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.04341088,0.0001024566,0.0002826001,0.0001515068,0.002503924,0.0001233799,0.000247173,0.0002139368,0.0003032252],"category_scores_gemma":[0.06907576,0.00008221276,0.00002819271,0.001231277,0.01557456,0.0002842752,0.0001027621,0.0005836226,0.00001337401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005781,"about_ca_system_score_gemma":0.001628719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008522379,"about_ca_topic_score_gemma":0.00005030896,"domain_scores_codex":[0.9934587,0.003301619,0.0002756239,0.0004071217,0.001903761,0.0006532131],"domain_scores_gemma":[0.9968958,0.001334002,0.00008541397,0.0001117825,0.0006199598,0.0009530631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001795207,0.00002315524,0.0007722276,0.000003568229,0.000005006611,0.00001178701,0.2163986,4.647592e-7,0.01198634,0.7553845,0.006822843,0.00857353],"study_design_scores_gemma":[0.001877105,0.0007502475,0.009390926,0.00008081493,0.00008472957,0.00004464604,0.2751851,0.0002545203,0.002939552,0.5683895,0.1403572,0.0006456089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.630293,0.0005080078,0.006453977,0.1697953,0.002164022,0.0006732953,0.000002381849,0.0003184734,0.1897915],"genre_scores_gemma":[0.9938258,0.00002892428,0.002853356,0.001396882,0.00163091,0.00002369512,4.234015e-7,0.000005590166,0.0002344053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3635328,"threshold_uncertainty_score":0.9987947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9060364087734184,"score_gpt":0.7434280647209109,"score_spread":0.1626083440525075,"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."}}