{"id":"W3000399538","doi":"10.29173/hsi21","title":"Antifragile by Design: Using Antifragility as a Guiding Principle in Future Rural eHealth Implementation & Evaluation","year":2019,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"eHealth; Computer science; Engineering management; Engineering; Health care; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02271343,0.0003311841,0.0006109617,0.000647249,0.00305404,0.00004574922,0.0005888739,0.0002659169,0.001015618],"category_scores_gemma":[0.0002779651,0.0003295973,0.00005636713,0.002771899,0.0002842883,0.0009542811,0.0002096131,0.0007979439,0.0005013447],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004186371,"about_ca_system_score_gemma":0.02018176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007753542,"about_ca_topic_score_gemma":0.001082829,"domain_scores_codex":[0.9911216,0.001369825,0.002217329,0.001131248,0.001615826,0.002544154],"domain_scores_gemma":[0.9955236,0.000318913,0.001260917,0.001075439,0.0007264621,0.001094635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003466083,0.0005258056,0.7512321,0.003479434,0.000009207578,0.000001232937,0.02477474,0.001167085,0.0111293,0.00866166,0.03784141,0.1608314],"study_design_scores_gemma":[0.007993901,0.0008054543,0.5761023,0.001375683,0.00002906427,0.00003102967,0.04921882,0.04086907,0.0004133079,0.002929755,0.3190026,0.001229007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687919,0.0009672412,0.003394525,0.006803706,0.003751547,0.01572792,0.00003700444,0.0001457273,0.000380397],"genre_scores_gemma":[0.9776627,0.0006818484,0.006279444,0.0110581,0.0006835932,0.003233959,0.0002295601,0.00004720501,0.0001235165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2811612,"threshold_uncertainty_score":0.9999156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2631699721519183,"score_gpt":0.5772610739322802,"score_spread":0.3140911017803619,"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."}}