{"id":"W6912780469","doi":"10.5281/zenodo.8091287","title":"Developing a self-care protocol for working with potentially traumatic data: the Archiving Reproductive Health experience.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Research and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Reproductive health; Protocol (science); Reproductive medicine; Family planning; Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004969763,0.0001477994,0.0001972167,0.0001851183,0.01006651,0.0003649263,0.001751147,0.00005167949,0.001664614],"category_scores_gemma":[0.006461442,0.0001006297,0.00002802514,0.00104367,0.0001701787,0.0004134031,0.002006056,0.0007523645,0.001560574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493611,"about_ca_system_score_gemma":0.0001675237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005035235,"about_ca_topic_score_gemma":0.000009992819,"domain_scores_codex":[0.9952992,0.001924142,0.0004485782,0.0006756039,0.0007598125,0.0008927183],"domain_scores_gemma":[0.9971752,0.0006306536,0.0003138017,0.001000237,0.0006146846,0.0002654236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001072501,0.0001420036,0.00009349942,0.003734451,0.0001811298,0.00002441821,0.1721678,0.00003035191,0.0002040401,0.006994396,0.2834469,0.5319086],"study_design_scores_gemma":[0.0008196344,0.0002971459,0.001035162,0.0005787155,0.000006693388,0.00001472322,0.03314807,0.0005399726,0.00001219197,0.0002029461,0.9632195,0.0001252953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.009292574,0.0001731376,0.2240825,0.100774,0.0006777068,0.5521505,0.0006849929,0.006893429,0.1052711],"genre_scores_gemma":[0.6235952,0.002049572,0.2232807,0.02149494,0.02033183,0.01874852,0.04186443,0.02836243,0.02027231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6797726,"threshold_uncertainty_score":0.999248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3862068570569138,"score_gpt":0.483365721216788,"score_spread":0.09715886415987424,"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."}}