{"id":"W2934567384","doi":"10.15353/cjo.81.350","title":"Health in a Digital Age","year":2019,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004821426,0.000539995,0.001940563,0.01120495,0.0009218489,0.0002017789,0.001525662,0.000615858,0.002499766],"category_scores_gemma":[0.001272638,0.0005274975,0.0004795842,0.005029954,0.0002537142,0.001074488,0.0000369864,0.004206182,0.0005100688],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005413582,"about_ca_system_score_gemma":0.05863394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01551407,"about_ca_topic_score_gemma":0.02383827,"domain_scores_codex":[0.9908572,0.0004880099,0.004353011,0.0004283601,0.0007991494,0.003074299],"domain_scores_gemma":[0.9800894,0.0008026711,0.003522556,0.0006773574,0.001661708,0.01324631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006444261,0.00004177421,0.9507195,0.000435858,0.00007856515,0.0005237308,0.001035365,0.00009505637,0.00000598277,0.00009796142,0.04072009,0.006181617],"study_design_scores_gemma":[0.0027988,0.0004450511,0.7406282,0.001452878,0.00002613918,0.000789219,0.002163529,0.00002262111,0.00000271591,0.00003659628,0.2512674,0.0003668505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632849,0.006851383,0.0003955078,0.01528647,0.004613143,0.001794086,0.0004836555,0.00001165227,0.007279192],"genre_scores_gemma":[0.9897926,0.0005801805,0.001383863,0.005647944,0.001050684,0.00003657704,0.00003127829,0.0001197296,0.001357126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2105473,"threshold_uncertainty_score":0.9998062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495898901222894,"score_gpt":0.4157145619620245,"score_spread":0.3907555729497956,"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."}}