{"id":"W4225329210","doi":"10.2196/30517","title":"Lifelog Retrieval From Daily Digital Data: Narrative Review","year":2022,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Programa Operacional Regional do Centro; European Commission","keywords":"Lifelog; Computer science; Wearable computer; Scopus; Narrative; Field (mathematics); Narrative review; Information retrieval; Process (computing); World Wide Web; Multimedia; Data science; Human–computer interaction; Psychology; MEDLINE","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":[0.008642241,0.001014253,0.002525029,0.02257822,0.0009493827,0.004275934,0.001910642,0.00177722,0.007135022],"category_scores_gemma":[0.05460622,0.0007264979,0.002183647,0.01878309,0.001373175,0.005493178,0.00223165,0.001205797,0.001637856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002654628,"about_ca_system_score_gemma":0.0104993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002737109,"about_ca_topic_score_gemma":0.006129168,"domain_scores_codex":[0.9923349,0.002514544,0.002779568,0.000541582,0.001584139,0.0002453018],"domain_scores_gemma":[0.9288413,0.05544443,0.008093269,0.0008912912,0.0061729,0.0005568855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000135605,0.00003511683,0.0008496224,0.7812625,0.0007797629,0.0006989012,0.00182159,0.0001100107,0.0003671287,0.001869744,0.01729532,0.1947747],"study_design_scores_gemma":[0.0000313526,0.000105206,0.001716495,0.7931298,0.002681647,0.001558006,0.001769776,0.00005281629,0.0003242563,0.0008584561,0.1977306,0.00004148015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008298034,0.9950969,0.0002869126,0.001042528,0.0002043799,0.0001643261,0.0005485683,0.00002040148,0.001806255],"genre_scores_gemma":[0.005605819,0.9914209,0.0006435816,0.001116064,0.0002303103,0.000287549,0.0003785153,0.00001328757,0.0003039281],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02257822,"threshold_uncertainty_score":0.04570508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.198297855108424,"score_gpt":0.4605104628521236,"score_spread":0.2622126077436996,"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."}}