{"id":"W4282937389","doi":"10.1177/20552076221102248","title":"“Who needs an app? Fertility patients’ use of a novel mobile health app”","year":2022,"lang":"en","type":"article","venue":"Digital Health","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Fertility Centre; McGill University Health Centre; Mount Sinai Hospital; McGill University; University of Toronto; Jewish General Hospital","funders":"Institute of Gender and Health","keywords":"Mobile apps; Fertility; Smartphone app; Internet privacy; App store; Computer science; World Wide Web; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007851495,0.0001751741,0.0001582153,0.0002531892,0.0006024207,0.0007675684,0.0001989656,0.0006048215,0.008853918],"category_scores_gemma":[0.005491881,0.0000941502,0.0003750825,0.0001580394,0.0002113896,0.000936439,0.0005571165,0.0005043333,0.001225684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502141,"about_ca_system_score_gemma":0.0003857228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003637114,"about_ca_topic_score_gemma":0.001271863,"domain_scores_codex":[0.9995926,0.0002267793,0.00003397629,0.00002932824,0.00005847917,0.00005888126],"domain_scores_gemma":[0.9982552,0.001076535,0.0002731461,0.00004276882,0.0001039437,0.0002484497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006853869,0.001289562,0.2494498,0.001711462,0.0001438456,0.002722897,0.01973314,0.0001673122,0.003161469,0.0007773409,0.06028304,0.6598747],"study_design_scores_gemma":[0.0004187466,0.005742735,0.4467997,0.003798117,0.0008166904,0.02977991,0.1045126,0.002371675,0.006250241,0.002781222,0.3964105,0.0003179632],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422792,0.005052013,0.003211708,0.01626466,0.0005591431,0.0004796335,0.00111081,0.0003269789,0.03071583],"genre_scores_gemma":[0.9707392,0.004249695,0.008518668,0.007056837,0.0003323375,0.0003481353,0.0003231794,0.0000266799,0.008405305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008853918,"threshold_uncertainty_score":0.02961928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06483656597885173,"score_gpt":0.3355350264712502,"score_spread":0.2706984604923985,"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."}}