{"id":"W7005383667","doi":"","title":"Quality Assurance for Mobile Applications, Experiences in eHealth","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Quality assurance; Quality (philosophy); Mobile device; mHealth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01704528,0.0001545239,0.000220469,0.0009743241,0.001701316,0.004419289,0.0007317481,0.001348597,0.04001068],"category_scores_gemma":[0.03032013,0.0001675436,0.0002563943,0.001261353,0.001047912,0.001974547,0.001183471,0.001151858,0.008285715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002112762,"about_ca_system_score_gemma":0.005791163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239256,"about_ca_topic_score_gemma":0.01830745,"domain_scores_codex":[0.9930448,0.001429858,0.0005284757,0.0002797603,0.004261272,0.0004558648],"domain_scores_gemma":[0.9563776,0.008522844,0.00127699,0.002256064,0.02810189,0.003464639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002793139,0.0004263051,0.01518821,0.0007635867,0.00001231605,0.000469228,0.005092317,0.0002475736,0.006092648,0.0065961,0.3905227,0.5743096],"study_design_scores_gemma":[0.00006792355,0.001022173,0.06109108,0.001115662,0.00002735619,0.001076354,0.004742367,0.0006634163,0.008020704,0.002804798,0.9193074,0.00006079889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1218859,0.03779195,0.03664035,0.2324198,0.01980039,0.00187642,0.00411605,0.003231128,0.5422379],"genre_scores_gemma":[0.2671203,0.01863257,0.02694347,0.01050856,0.003423278,0.0003808079,0.002849901,0.001165305,0.6689758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04001068,"threshold_uncertainty_score":0.133849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310900311782052,"score_gpt":0.3379141697655435,"score_spread":0.324805166647723,"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."}}