{"id":"W7162026454","doi":"10.82308/41813","title":"Mobile health app engagement and counselling uptake in fertility patients: a preliminary study","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychosocial; Infertility; Fertility; Mental health; Distress; Reproductive health; Stigma (botany); Coping (psychology); Social stigma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006619439,0.0004372081,0.00107438,0.0009756637,0.003022143,0.003529239,0.000732584,0.00129288,0.0104928],"category_scores_gemma":[0.02604516,0.0005246974,0.0011982,0.0009360282,0.001122521,0.002165759,0.002345922,0.003376228,0.001889816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737665,"about_ca_system_score_gemma":0.005547486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01363588,"about_ca_topic_score_gemma":0.02168966,"domain_scores_codex":[0.9957272,0.001494894,0.0003091856,0.0003178787,0.001086988,0.001063864],"domain_scores_gemma":[0.9869866,0.00700031,0.001102787,0.000515144,0.002810461,0.001584688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005894164,0.03925398,0.3633884,0.003755115,0.0004735937,0.00102223,0.2991122,0.0002062521,0.001593034,0.0008749969,0.008149665,0.2762764],"study_design_scores_gemma":[0.0007935481,0.02233431,0.7166448,0.001671969,0.0008297364,0.0005301098,0.233591,0.0007143592,0.001458963,0.0006901168,0.02050591,0.0002350899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937466,0.0002955122,0.0001544025,0.000546911,0.00004071363,0.001217452,0.0004284737,0.0000141135,0.003555802],"genre_scores_gemma":[0.9907172,0.0007476089,0.0009196448,0.0008441816,0.00005941658,0.002413162,0.0003736218,0.00001424576,0.003910943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01363588,"threshold_uncertainty_score":0.03510189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04071837775379496,"score_gpt":0.3475971393794853,"score_spread":0.3068787616256903,"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."}}