{"id":"W3035989005","doi":"","title":"Social media use during pregnancy: A response to COVID-19 social isolation","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Social media; Pregnancy; Social isolation; Isolation (microbiology); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Data science; World Wide Web; Medicine; Virology; Bioinformatics; Biology; Pathology; Outbreak; Infectious disease (medical specialty); Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.001347471,0.0002233776,0.0004014816,0.001495616,0.006504359,0.001751759,0.0008061213,0.001716125,0.003901994],"category_scores_gemma":[0.01355764,0.0002945676,0.0003945747,0.001777269,0.001231232,0.0005373122,0.001702168,0.003483328,0.0001739119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008346092,"about_ca_system_score_gemma":0.01347342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6705289,"about_ca_topic_score_gemma":0.7161305,"domain_scores_codex":[0.9974898,0.0005372543,0.0001862872,0.000165004,0.0008132873,0.0008082043],"domain_scores_gemma":[0.9904687,0.001777744,0.001999049,0.0002038084,0.001922462,0.00362821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001461013,0.0004036862,0.8876814,0.0001596961,0.00005667544,0.008514405,0.06502458,0.00005390193,0.0006352426,0.0008111951,0.00880662,0.02770642],"study_design_scores_gemma":[0.00001482141,0.0001562318,0.8595031,0.0002748663,0.0000393077,0.002164637,0.122609,0.0001384551,0.0001664656,0.0001391626,0.01475161,0.00004230959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465596,0.001768672,0.0001272657,0.02869,0.0005367055,0.0002947831,0.0008704232,0.00002318533,0.02112936],"genre_scores_gemma":[0.9930845,0.001171878,0.000151832,0.002764557,0.0001561205,0.00007379469,0.0001306938,0.000008897517,0.002457558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6705289,"threshold_uncertainty_score":0.6628227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04719957488572084,"score_gpt":0.3148048994909975,"score_spread":0.2676053246052767,"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."}}