{"id":"W4404042362","doi":"10.1097/01.pcc.0001085684.31780.43","title":"PP339 Topic: AS09–Global Health/Resource Limited Setting/Health Inequalities/Impact of Global Warming/Other: IMPACT OF IN-PERSON VS VIRTUAL ATTENDANCE ON THE QUALITY OF INTERACTIONS IN CONSENSUS CONFERENCES: COMPARISON OF PALICC AND PALICC-2","year":2024,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; École de Technologie Supérieure; Université de Montréal","funders":"","keywords":"Medicine; Attendance; Global health; Quality (philosophy); Inequality; Resource (disambiguation); Medical education; Nursing; Public health; Economic growth","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":[0.003311144,0.0005283074,0.0005268154,0.001169377,0.0008898031,0.00282537,0.0008673903,0.001394695,0.2063232],"category_scores_gemma":[0.007047603,0.0001195284,0.0007314009,0.002155697,0.0005323219,0.001803223,0.002320683,0.001055349,0.02945624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196953,"about_ca_system_score_gemma":0.002876459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002516771,"about_ca_topic_score_gemma":0.003972768,"domain_scores_codex":[0.9983954,0.0006045715,0.0001447015,0.0001515294,0.000502237,0.0002014647],"domain_scores_gemma":[0.993721,0.001802586,0.0005524547,0.0002086713,0.002402414,0.001312927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003699895,0.0001218502,0.005919203,0.005210926,0.00003042698,0.00009678474,0.0008974585,0.0001084715,0.0008755009,0.00203683,0.8626953,0.1216371],"study_design_scores_gemma":[0.00005031085,0.0002689708,0.03460212,0.002672052,0.00002873978,0.0002203225,0.002836116,0.000107958,0.0003451832,0.0009376036,0.9579117,0.00001893944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08088075,0.05585879,0.003454407,0.08370733,0.06697543,0.003701971,0.04568307,0.0009784296,0.6587599],"genre_scores_gemma":[0.3901514,0.09151421,0.01390486,0.03093223,0.03922424,0.00764787,0.05589895,0.001755493,0.3689707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2063232,"threshold_uncertainty_score":0.6902199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232424733950651,"score_gpt":0.4779388425186862,"score_spread":0.354696369123621,"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."}}