{"id":"W4285365824","doi":"10.2196/preprints.33594","title":"Evaluation of a Mobile Health App Offering Fertility Information to Male Patients With Cancer: Usability Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; McGill University; McGill University Health Centre; University of Toronto; Jewish General Hospital","funders":"","keywords":"Fertility; Fertility preservation; Usability; Medicine; App store; Family medicine; Demography; Gerontology; Gynecology; Internet privacy; Psychology; Computer science; Population; World Wide Web; Environmental health; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01068542,0.0005729882,0.000833249,0.0007206505,0.0008660652,0.001338632,0.0006036098,0.0008902421,0.003146311],"category_scores_gemma":[0.02866982,0.0003684779,0.001214671,0.0004109804,0.0004891743,0.00104027,0.0008763633,0.0006109661,0.0005235476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005972573,"about_ca_system_score_gemma":0.001260604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367474,"about_ca_topic_score_gemma":0.003280782,"domain_scores_codex":[0.9960289,0.002455684,0.0004818747,0.0002633896,0.0005136756,0.0002565442],"domain_scores_gemma":[0.9769557,0.01706089,0.0008524511,0.000598685,0.003857871,0.0006742799],"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":[0.01343604,0.05345505,0.157686,0.03301175,0.001610526,0.004275651,0.1727412,0.001732402,0.02724932,0.0006398957,0.02291071,0.5112514],"study_design_scores_gemma":[0.008126446,0.3113405,0.4315565,0.0095401,0.003742481,0.005313284,0.1373127,0.00748916,0.02188889,0.000626143,0.06227582,0.0007878791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937344,0.0003722259,0.0009850719,0.000274305,0.00006777977,0.00314255,0.0002464181,0.00006080174,0.001116391],"genre_scores_gemma":[0.9745136,0.001259482,0.01115214,0.001234934,0.0001088844,0.008502257,0.0005307266,0.00005906338,0.002638926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068542,"threshold_uncertainty_score":0.05651063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892856947522069,"score_gpt":0.3731813806737464,"score_spread":0.3242528111985257,"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."}}