{"id":"W2795126612","doi":"10.17169/fqs-19.2.2858","title":"Body-Map Storytelling as a Health Research Methodology: Blurred Lines Creating Clear Pictures","year":2017,"lang":"en","type":"article","venue":"Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Health Canada; Universidad Iberoamericana Ciudad de México","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.1093618,0.0004393803,0.0009164218,0.0005271231,0.2001718,0.02486917,0.02443275,0.0003380908,0.00008438196],"category_scores_gemma":[0.03363205,0.0003533772,0.0004066338,0.003263917,0.04634342,0.01140419,0.005736178,0.0009908293,0.00003687495],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930814,"about_ca_system_score_gemma":0.0161953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09450535,"about_ca_topic_score_gemma":0.01078523,"domain_scores_codex":[0.9814672,0.006717099,0.001012155,0.00187684,0.005404263,0.003522411],"domain_scores_gemma":[0.990748,0.004071349,0.001434794,0.0009973805,0.001955058,0.0007934497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000662285,0.0004965289,0.01025253,0.0001519452,0.0001982416,0.00003464303,0.2068847,0.0001375011,0.008906214,0.6442915,0.01554207,0.1124418],"study_design_scores_gemma":[0.002188049,0.001035741,0.07041327,0.000425971,0.0001950246,0.00001002391,0.2165911,0.001601998,0.01176975,0.0614353,0.6319793,0.002354441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3517139,0.001422254,0.008373778,0.09276757,0.01876022,0.01331672,0.0001020961,0.0005687139,0.5129748],"genre_scores_gemma":[0.9815446,0.0001764596,0.007089583,0.0008138813,0.005363252,0.0007651062,0.00000305181,0.00004716936,0.004196971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6298307,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8858477905040407,"score_gpt":0.7542960031375698,"score_spread":0.1315517873664709,"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."}}