{"id":"W2615406299","doi":"","title":"Crisis warning signs in mHealth for military veterans: a collaborative design approach","year":2016,"lang":"en","type":"article","venue":"International Conference on Information Systems for Crisis Response and Management","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"mHealth; Warning signs; Computer science; Computer security; Medicine; Engineering; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002350794,0.0001388339,0.0001874557,0.0006511065,0.000244534,0.0001177092,0.0002955839,0.0001121731,0.000008456864],"category_scores_gemma":[0.0003280356,0.0001124608,0.00004438288,0.0001917386,0.00006637524,0.000923771,0.0000394223,0.00005288836,0.00001229497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003097324,"about_ca_system_score_gemma":0.0001264874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003429658,"about_ca_topic_score_gemma":0.00008490998,"domain_scores_codex":[0.9983322,0.0003142188,0.000499481,0.0002294188,0.0003600083,0.0002646695],"domain_scores_gemma":[0.9986942,0.0004506134,0.0001814424,0.0001446114,0.0004630938,0.00006599229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01093609,0.0001570158,0.0001376307,0.0004063492,0.0003134062,0.000003171674,0.07797608,0.0006094051,0.0001422086,0.8184021,0.05113146,0.03978506],"study_design_scores_gemma":[0.005878287,0.001064085,0.0006436486,0.0005643179,0.00003895954,0.000002315467,0.322956,0.009202902,0.0001125055,0.004173231,0.6548641,0.0004996799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01492267,0.0001089763,0.9532164,0.02185284,0.0005890603,0.004658602,0.0002833033,0.0001546257,0.004213513],"genre_scores_gemma":[0.9910266,0.001019265,0.004465928,0.0004605759,0.00003569772,0.002540394,0.0000244924,0.000007784951,0.0004193027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9761039,"threshold_uncertainty_score":0.4586018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05836766546162819,"score_gpt":0.3439290766955029,"score_spread":0.2855614112338747,"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."}}