{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007968782,0.0001594768,0.0008387262,0.000174283,0.0002456625,0.00001954884,0.0002994117,0.00004417438,0.000005447226],"category_scores_gemma":[0.001082742,0.00009395876,0.0001015318,0.001874892,0.0004766294,0.0001340491,0.00007306303,0.0006569686,7.670996e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005851276,"about_ca_system_score_gemma":0.004761573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007444236,"about_ca_topic_score_gemma":0.0001613856,"domain_scores_codex":[0.9959716,0.001602426,0.001249033,0.0002915277,0.00041177,0.0004736905],"domain_scores_gemma":[0.9960905,0.0003791176,0.001647778,0.0007885059,0.0008896472,0.0002044942],"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":[0.0007837214,0.001441651,0.2152036,0.0007995982,0.00009056918,0.00001029281,0.005595679,0.0001067571,0.001197055,0.0003621218,0.0009537048,0.7734553],"study_design_scores_gemma":[0.001367881,0.001760469,0.9550993,0.0003209673,0.00004403224,0.0008742905,0.02578493,0.001179205,0.0005481698,0.0005472752,0.01233362,0.0001397901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480389,0.008628897,0.001662973,0.04032927,0.00006878922,0.0008811068,0.00000710885,0.00001858465,0.0003643518],"genre_scores_gemma":[0.9916252,0.002269582,0.003875763,0.002005242,0.0001758111,0.00002234277,0.000006539076,0.00001420644,0.000005276407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7733155,"threshold_uncertainty_score":0.9991653,"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."}}