{"id":"W3164571624","doi":"","title":"Capturing the data moment: Effective public health communication in a pandemic","year":2021,"lang":"en","type":"article","venue":"UBC Faculty of Medicine medical journal","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Moment (physics); Public health; Medicine; Coronavirus disease 2019 (COVID-19); Nursing; Internal medicine; Disease; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02011218,0.0009398896,0.0006576662,0.002454795,0.004928709,0.01025342,0.002038723,0.007488076,0.006213267],"category_scores_gemma":[0.111149,0.0009736852,0.0004132385,0.001421494,0.00386854,0.02486464,0.008511931,0.007409464,0.001167645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002702595,"about_ca_system_score_gemma":0.005582336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002405591,"about_ca_topic_score_gemma":0.002555088,"domain_scores_codex":[0.9831316,0.01338766,0.0007366317,0.0005946352,0.001415533,0.0007339215],"domain_scores_gemma":[0.8877481,0.08962993,0.01031362,0.004471491,0.004848054,0.002988771],"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":[0.001399714,0.001132319,0.06555776,0.002512474,0.0003149018,0.003060943,0.1272522,0.006931648,0.009286637,0.1095774,0.100152,0.572822],"study_design_scores_gemma":[0.0002330176,0.001547187,0.03104798,0.005968198,0.0005806559,0.004294866,0.2701325,0.03917787,0.01126748,0.3693822,0.2656098,0.0007582243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3155616,0.01158095,0.09535609,0.4570451,0.005760101,0.0005260847,0.0009273266,0.001576284,0.1116664],"genre_scores_gemma":[0.9625349,0.00305405,0.02118767,0.009291018,0.001160048,0.0001176119,0.0001631639,0.0001020678,0.00238947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9897466,"threshold_uncertainty_score":0.1063646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.17918643825949,"score_gpt":0.4423613595291163,"score_spread":0.2631749212696263,"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."}}