{"id":"W3210780339","doi":"10.1177/15579883211049027","title":"Risky Business: Increasing Fertility Knowledge of Men in the General Public Using the Mobile Health Application <i>Infotility XY</i>","year":2021,"lang":"en","type":"article","venue":"American Journal of Men s Health","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; McGill University; McGill University Health Centre; University of Toronto; Jewish General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Infertility; Fertility; mHealth; Medicine; Public health; Reproductive health; Intervention (counseling); Demography; Psychology; Gerontology; Population; Pregnancy; Environmental health; Psychological intervention; Psychiatry; Nursing","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":[0.001324196,0.000204194,0.0002189812,0.0003813461,0.0005124572,0.0006011119,0.0003014748,0.0004532382,0.003427147],"category_scores_gemma":[0.004386066,0.0001844485,0.0003726071,0.0002149199,0.0002289909,0.0006588802,0.000689862,0.0004288809,0.0003257953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888476,"about_ca_system_score_gemma":0.0006607415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003473007,"about_ca_topic_score_gemma":0.005260371,"domain_scores_codex":[0.9995003,0.000217484,0.00002557535,0.00005152439,0.0001237867,0.00008133313],"domain_scores_gemma":[0.9983342,0.0007728931,0.000378726,0.00005986369,0.0001038957,0.0003503974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001274289,0.01634227,0.6234241,0.0007626336,0.0001655382,0.0004014554,0.01483382,0.0001623228,0.00495526,0.0002083455,0.003388159,0.3340819],"study_design_scores_gemma":[0.0002366626,0.008578763,0.9766276,0.000207306,0.0001774458,0.0002926463,0.005330108,0.0007160162,0.001819316,0.0001451409,0.005840898,0.00002800332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976056,0.0001191541,0.00008500709,0.0004009149,0.00001168595,0.0000891629,0.000055644,0.00001401917,0.001618754],"genre_scores_gemma":[0.9973649,0.0002619324,0.001113552,0.0002775972,0.00002926726,0.0001290927,0.00006410599,0.000002351562,0.000757232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003473007,"threshold_uncertainty_score":0.01146495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413468253198529,"score_gpt":0.3781720999486616,"score_spread":0.3368252746288087,"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."}}