{"id":"W2979186959","doi":"10.2196/15236","title":"An mHealth App Designed for Fertility Patients: From Conception to Pilot Testing","year":2019,"lang":"en","type":"article","venue":"Iproceedings","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Fertility clinic; Infertility; Psychosocial; Psychological intervention; Fertility; Medical education; Medicine; Reproductive health; Health care; Readability; Psychology; Internet privacy; Family medicine; Nursing; Computer science; Pregnancy; Population; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002972649,0.0001312365,0.0002668277,0.00008543475,0.0001070339,0.00001975619,0.0001042929,0.00008154989,0.00002164568],"category_scores_gemma":[0.001763257,0.0001136542,0.00002558437,0.0002502438,0.00003598901,0.0001927448,0.00002512536,0.0001287837,0.0000658497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391355,"about_ca_system_score_gemma":0.0000796525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002407924,"about_ca_topic_score_gemma":0.000002229101,"domain_scores_codex":[0.9986525,0.000006338506,0.0002631448,0.0005618799,0.0001798712,0.0003362827],"domain_scores_gemma":[0.9987572,0.00008399404,0.0001079453,0.0002478035,0.0006104436,0.0001925722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001536651,0.0003083711,0.8043582,0.0003216868,0.000009578029,2.003738e-7,0.0004596524,6.82499e-7,0.1417244,0.0002238542,0.0008473637,0.05020936],"study_design_scores_gemma":[0.001963483,0.007969377,0.9616646,0.000124398,0.00002613847,7.065215e-7,0.0005528878,0.0001896295,0.02394162,0.002316865,0.001099869,0.0001503856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948787,0.00003992373,0.0007963215,0.0007957409,0.0001696775,0.002148223,0.00001543304,0.0004750576,0.0006809094],"genre_scores_gemma":[0.9773514,0.000001770826,0.0210836,0.001119758,0.0001940181,0.0001424696,0.00003532227,0.00002265289,0.0000490411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1573065,"threshold_uncertainty_score":0.4634685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07227249027811201,"score_gpt":0.3451798750774893,"score_spread":0.2729073847993773,"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."}}