{"id":"W4307348813","doi":"10.2196/37581","title":"Evaluation of Breastfeeding App Features: Content Analysis Study","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breastfeeding; Psychology; Descriptive statistics; Medicine; Computer science; Statistics; Mathematics; Pediatrics","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":[0.007158344,0.0002421278,0.0004736462,0.004647763,0.0006518134,0.001267594,0.0003456711,0.0003075776,0.0009971139],"category_scores_gemma":[0.03306362,0.0001954135,0.000574108,0.003418466,0.0005047657,0.001228317,0.001174532,0.0003611716,0.0002609295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304118,"about_ca_system_score_gemma":0.001455144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002118753,"about_ca_topic_score_gemma":0.00323151,"domain_scores_codex":[0.9962735,0.001680995,0.000524066,0.0003449373,0.0009640731,0.0002124761],"domain_scores_gemma":[0.9578991,0.02489918,0.004861461,0.0009419178,0.01073709,0.0006612377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009081806,0.001465929,0.7325785,0.001965505,0.0002624807,0.0004707052,0.08049119,0.0003262296,0.006654058,0.0004916725,0.002746711,0.1716389],"study_design_scores_gemma":[0.00008144729,0.001389569,0.9341302,0.0006866596,0.0002941671,0.0007122954,0.04256798,0.004194991,0.004579659,0.0002796915,0.01100339,0.00007987508],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963369,0.0001393153,0.0008368065,0.00004757159,0.00000627956,0.0007084074,0.0006045024,0.00002146619,0.001298675],"genre_scores_gemma":[0.989615,0.0003486322,0.006058204,0.0000818828,0.00001909603,0.001833042,0.001153428,0.0000275953,0.0008632356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007158344,"threshold_uncertainty_score":0.03785735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371157668870862,"score_gpt":0.4556150031339566,"score_spread":0.3184992362468704,"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."}}