{"id":"W4310053473","doi":"10.1177/14604086221129385","title":"Development and evaluation of a mobile application trauma registry for use in low- and middle-income countries","year":2022,"lang":"en","type":"article","venue":"Trauma","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; University of Alberta","funders":"University of Alberta","keywords":"Referral; Medicine; Expectancy theory; Likert scale; Qualitative research; Health care; Family medicine; Medical emergency; Nursing; Psychology; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0236573,0.0005670216,0.0005289387,0.001288732,0.00114663,0.002262485,0.001484622,0.0008436647,0.004305659],"category_scores_gemma":[0.03302491,0.0004161353,0.0008057116,0.000767624,0.0008121317,0.00199357,0.002907099,0.0008522779,0.001188746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156991,"about_ca_system_score_gemma":0.00577852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701636,"about_ca_topic_score_gemma":0.001979434,"domain_scores_codex":[0.9885139,0.007892848,0.0009082126,0.0004092952,0.001399135,0.0008767034],"domain_scores_gemma":[0.9839748,0.006932072,0.001215624,0.001179131,0.004878665,0.00181975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002262218,0.01225453,0.1186317,0.003878809,0.0001953466,0.004460755,0.06969886,0.004708224,0.01907506,0.004073636,0.01861087,0.7421499],"study_design_scores_gemma":[0.004722353,0.08899775,0.3910361,0.008261776,0.0011441,0.005833511,0.1819585,0.02185335,0.04238569,0.003735217,0.2493769,0.0006947393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371186,0.0002393096,0.02081511,0.001478979,0.0001319179,0.02891289,0.0006466506,0.0006836482,0.00997285],"genre_scores_gemma":[0.799203,0.001293536,0.1551475,0.0007652511,0.00007720466,0.03674247,0.001446505,0.0001997718,0.005124937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0236573,"threshold_uncertainty_score":0.1251133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136023633191323,"score_gpt":0.4288640363570688,"score_spread":0.3152616730379365,"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."}}