{"id":"W7002043796","doi":"","title":"Mobile health app engagement and counselling uptake in fertility patients: a preliminary study","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fertility; mHealth; Population; Public health; Reproductive health; Mobile apps","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":[0.005682261,0.0002557746,0.0006568356,0.000761212,0.002347233,0.003407639,0.0008279714,0.001574587,0.0121782],"category_scores_gemma":[0.03097994,0.0006327592,0.0009216131,0.0008540778,0.0008628885,0.001943483,0.002368025,0.003704644,0.001878135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530748,"about_ca_system_score_gemma":0.003914495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0113559,"about_ca_topic_score_gemma":0.01492935,"domain_scores_codex":[0.9955848,0.001896354,0.000220121,0.00039349,0.001037655,0.0008674349],"domain_scores_gemma":[0.9797516,0.01331683,0.002296119,0.0003695705,0.001739439,0.002526417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003232405,0.01612667,0.7812994,0.0008234279,0.0003928003,0.0003685554,0.08395106,0.00009397262,0.0006256724,0.0005840273,0.004116165,0.1083858],"study_design_scores_gemma":[0.0003450508,0.008006902,0.9114512,0.0005934741,0.0003460186,0.0003187502,0.07341491,0.0003336799,0.0003562399,0.0003135877,0.004442166,0.00007791029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960257,0.0002781314,0.00007794027,0.0006878825,0.00002151929,0.0002211934,0.0002368717,0.00000413535,0.002446631],"genre_scores_gemma":[0.9945693,0.0004894341,0.0003161343,0.0008839484,0.00003734987,0.0005282518,0.0001769572,0.00001084494,0.002987711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121782,"threshold_uncertainty_score":0.04074019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04786602055907582,"score_gpt":0.3689507172722184,"score_spread":0.3210846967131425,"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."}}