{"id":"W2918686096","doi":"","title":"Ontology driven temporal event annotator mHealth application framework.","year":2018,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Ontology; Computer science; mHealth; Event (particle physics); Data science; Natural language processing; Medicine; Psychological intervention","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":[0.003215197,0.0006789895,0.000740398,0.001457219,0.0007119702,0.002316401,0.001973628,0.001280813,0.01130792],"category_scores_gemma":[0.005855132,0.0004651723,0.0009787495,0.0008274328,0.0005445098,0.002783281,0.003764732,0.001521612,0.0060711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000863621,"about_ca_system_score_gemma":0.001832948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00681115,"about_ca_topic_score_gemma":0.01278806,"domain_scores_codex":[0.9989833,0.0002635142,0.0001678519,0.0001935734,0.0003201334,0.00007168932],"domain_scores_gemma":[0.9982108,0.0007581558,0.0001227419,0.0003957099,0.0003422974,0.0001702736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002759116,0.0006729788,0.007825873,0.00390571,0.0008128078,0.00379998,0.003846049,0.02530485,0.04512568,0.133791,0.3627504,0.4094055],"study_design_scores_gemma":[0.000194315,0.0001681752,0.003841133,0.000609244,0.0003095494,0.001257977,0.0008509313,0.1763134,0.0305335,0.07488777,0.7107867,0.0002472608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007096326,0.0009785853,0.8240426,0.001509457,0.0005124871,0.001088728,0.0267933,0.1166733,0.02130537],"genre_scores_gemma":[0.1755901,0.002066843,0.6701867,0.001911905,0.0003204258,0.002293052,0.08783833,0.007765838,0.05202673],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01130792,"threshold_uncertainty_score":0.0378288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235503273748277,"score_gpt":0.4574173292622706,"score_spread":0.3338670018874428,"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."}}