{"id":"W4403648310","doi":"10.1038/s41598-024-75611-x","title":"Health satisfaction outcome from integrated autonomous mobile clinics","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Outcome (game theory); Computer science; Patient satisfaction; Data science; Medicine; Nursing; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002252775,0.0001948921,0.0006081176,0.0007098638,0.0005013167,0.001065906,0.0003365196,0.0005794626,0.007118971],"category_scores_gemma":[0.009840327,0.0001121795,0.000966542,0.001193546,0.0003394236,0.00072691,0.001113759,0.0008950705,0.0005226434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008498666,"about_ca_system_score_gemma":0.001007129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005982785,"about_ca_topic_score_gemma":0.003886566,"domain_scores_codex":[0.9978223,0.0009400317,0.0001799819,0.0001797332,0.000539148,0.0003387908],"domain_scores_gemma":[0.9927946,0.001981315,0.001739298,0.0003167999,0.001248053,0.001919971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01959511,0.01464994,0.7257946,0.0004881886,0.001205976,0.0002217492,0.001401789,0.0009720885,0.001330267,0.0003348105,0.005331571,0.2286739],"study_design_scores_gemma":[0.000463313,0.01155903,0.984275,0.00006052277,0.0003608576,0.00009308002,0.000769124,0.0008416898,0.0003101584,0.00008274304,0.001162634,0.00002184962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958539,0.0002278808,0.0001425613,0.0002604976,0.00002806955,0.00007920134,0.0011304,0.00001307821,0.002264465],"genre_scores_gemma":[0.9984605,0.00006012617,0.0001018429,0.0001105879,0.00002109734,0.00003811351,0.0007935271,0.000003261432,0.0004109713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007118971,"threshold_uncertainty_score":0.02381533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06762186334657827,"score_gpt":0.4665856445326959,"score_spread":0.3989637811861176,"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."}}