{"id":"W2972807525","doi":"10.12688/gatesopenres.13055.2","title":"Visualizing participant experiences in maternal and child nutrition studies using timeline mapping","year":2020,"lang":"en","type":"preprint","venue":"Gates Open Research","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Health Sciences Centre","funders":"Bill and Melinda Gates Foundation","keywords":"Timeline; Thematic analysis; Psychological intervention; Medicine; Focus group; Qualitative research; Nursing; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02408908,0.0002536486,0.0007589822,0.0005104761,0.001389296,0.001631786,0.001537289,0.0002387636,0.0001748917],"category_scores_gemma":[0.008854839,0.0002471221,0.00006016141,0.001019327,0.001759118,0.0005247637,0.006979757,0.001578134,0.00003102563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779832,"about_ca_system_score_gemma":0.0008463686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378038,"about_ca_topic_score_gemma":0.001519114,"domain_scores_codex":[0.9873805,0.007631603,0.000693397,0.001005486,0.001829948,0.001459041],"domain_scores_gemma":[0.9971561,0.001298522,0.000158079,0.0003279403,0.0005364774,0.0005228359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005840767,0.0005850045,0.0427021,0.003011538,0.0004015326,0.000616909,0.9234778,0.0001764761,0.00926628,0.008371999,0.0007675295,0.01003879],"study_design_scores_gemma":[0.001530743,0.0003136076,0.009552535,0.01134611,0.00004056781,0.000005664601,0.892273,0.0275836,0.01195153,0.03045834,0.01383923,0.001105053],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840095,0.007522953,0.00005166451,0.00387561,0.0002103108,0.002698701,0.00001194742,0.00004370997,0.001575583],"genre_scores_gemma":[0.9878735,0.004729956,0.005031677,0.0000604117,0.0004626038,0.001689314,0.00000511179,0.00003299289,0.000114451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03314957,"threshold_uncertainty_score":0.9999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9554275249976965,"score_gpt":0.7611576841699155,"score_spread":0.194269840827781,"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."}}