{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004691761,0.0001843771,0.0006274341,0.0002917534,0.0002862083,0.00002302653,0.0001556312,0.0000524129,0.00002169651],"category_scores_gemma":[0.0003181751,0.0001696085,0.00009106306,0.0007619272,0.0001453528,0.0003536584,0.0002004261,0.0004254263,0.000003954916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005181216,"about_ca_system_score_gemma":0.001076058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009145641,"about_ca_topic_score_gemma":0.00001295252,"domain_scores_codex":[0.9976004,0.00006597173,0.0007156546,0.0004871212,0.0005194776,0.0006113527],"domain_scores_gemma":[0.9980804,0.00007746831,0.000363905,0.0008794741,0.0001590441,0.0004396967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001465347,0.008940486,0.3932028,0.001923438,0.00003866379,0.00000322024,0.002541401,0.00006454211,0.00001589667,0.002237003,0.005663102,0.5839041],"study_design_scores_gemma":[0.004763316,0.03728246,0.7548865,0.0001609642,0.00001162203,0.00004510679,0.005760978,0.0004823896,0.0001335304,0.0005794345,0.1954687,0.0004249435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930347,0.0006099389,0.0001809478,0.002050535,0.0001876434,0.002439129,0.0007078671,0.0003561334,0.0004331139],"genre_scores_gemma":[0.995582,0.00005044226,0.0004774483,0.002773154,0.00003618061,0.0002811211,0.0004650483,0.00003147116,0.0003030712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5834792,"threshold_uncertainty_score":0.6916434,"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."}}