{"id":"W4229027199","doi":"10.1186/s12889-022-13324-4","title":"Public health perinatal promotion during COVID-19 pandemic: a social media analysis","year":2022,"lang":"en","type":"article","venue":"BMC Public Health","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Faculty of Health Sciences, University of Ottawa; University of Ottawa","keywords":"Public health; Medicine; Health promotion; Thematic analysis; Pandemic; Social media; Government (linguistics); Breastfeeding promotion; Population; Health care; Promotion (chess); Misinformation; Population health; Environmental health; Breastfeeding; Nursing; Coronavirus disease 2019 (COVID-19); Disease; Political science; Pediatrics; Qualitative research; Infectious disease (medical specialty); Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009307343,0.0003090157,0.0009426125,0.00193106,0.002187595,0.0001331509,0.0002932351,0.0001062347,0.001940241],"category_scores_gemma":[0.005980359,0.0003238021,0.000379362,0.00482459,0.0001229355,0.0004259218,0.0003200973,0.0008645993,0.00001988689],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01436306,"about_ca_system_score_gemma":0.02277637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112349,"about_ca_topic_score_gemma":0.001744673,"domain_scores_codex":[0.9930264,0.001706315,0.001048956,0.001113192,0.001598669,0.001506504],"domain_scores_gemma":[0.9955793,0.0002256835,0.0007283705,0.0008254442,0.0001976077,0.002443621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002438315,0.001688073,0.9218656,0.002545066,0.0005638258,0.00003193395,0.0301139,0.0001025239,0.0001091195,0.001438966,0.004749938,0.03654726],"study_design_scores_gemma":[0.003430968,0.000653228,0.8329771,0.00000759036,0.00008498043,0.0005995714,0.004279376,0.0008074418,0.000001665423,0.00009416396,0.156717,0.0003469017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6495165,0.0003414908,0.005281182,0.342191,0.0004516442,0.001229011,0.0001651863,0.0007411204,0.00008281068],"genre_scores_gemma":[0.9857196,0.00007494602,0.0004111402,0.01109526,0.0009356585,0.0003125939,0.0009841505,0.00005950902,0.0004071837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.336203,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2476774615849035,"score_gpt":0.4208046407375436,"score_spread":0.1731271791526401,"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."}}