{"id":"W4408642951","doi":"10.2196/68105","title":"Engaging Stakeholders With Professional or Lived Experience to Improve Firearm Violence Lexicon Development","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Preprint; Lexicon; Psychology; Engineering; Computer science; World Wide Web; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004315893,0.0001816426,0.0002139799,0.0005728409,0.002744585,0.0002908373,0.0009358919,0.0001205663,0.0003480015],"category_scores_gemma":[0.0006607893,0.0001210741,0.000036698,0.002197211,0.0009184244,0.0006958468,0.0004413353,0.0009504628,0.0001976027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006227299,"about_ca_system_score_gemma":0.00473973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008288283,"about_ca_topic_score_gemma":0.001231073,"domain_scores_codex":[0.9945963,0.0009942128,0.0003131971,0.0004841441,0.002162951,0.001449213],"domain_scores_gemma":[0.9974917,0.0008659763,0.00005522829,0.0002971629,0.0008456874,0.000444291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001058524,0.0004468594,0.00928624,0.0002357895,0.00004980137,0.00002931203,0.6726467,0.000006120257,0.001867075,0.009668486,0.001804113,0.302901],"study_design_scores_gemma":[0.001035013,0.000678007,0.03362728,0.003355548,0.000002746221,0.000001067071,0.8681644,0.0001969128,0.02355949,0.0008881731,0.0680031,0.0004882651],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974003,0.00005286058,0.0006564816,0.002680453,0.0002016923,0.00196818,0.000004830466,0.00008624032,0.02034631],"genre_scores_gemma":[0.987703,0.00008369152,0.0005578405,0.0001632926,0.00005718323,0.001601707,0.000003595746,0.00001191257,0.009817775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3024127,"threshold_uncertainty_score":0.9985537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.250880496025623,"score_gpt":0.5073385668884723,"score_spread":0.2564580708628494,"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."}}