{"id":"W4413949187","doi":"10.1145/3749482","title":"The Cognitive Strategies Behind Multimodal Health Sensemaking: A Menstrual Health Tracking Case Study","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensemaking; Tracking (education); Psychology; Cognition; Medicine; Computer science; Knowledge management; Psychiatry; Pedagogy","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009463795,0.0003701734,0.0005098861,0.0005117291,0.001652281,0.0005153759,0.002228372,0.0001626496,8.762804e-7],"category_scores_gemma":[0.001529425,0.0002381975,0.0000935178,0.0008740729,0.000701291,0.0009960176,0.002589473,0.001281188,0.000001924367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003090387,"about_ca_system_score_gemma":0.0002392689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004490571,"about_ca_topic_score_gemma":0.0002471379,"domain_scores_codex":[0.9975879,0.00007606209,0.00067685,0.0007603508,0.0003157209,0.0005831217],"domain_scores_gemma":[0.9966223,0.000831509,0.001007569,0.000761141,0.0007514256,0.00002611971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005611228,0.001733368,0.005079546,0.0003486483,0.0009735049,0.0001088836,0.03705778,0.00003440512,0.009352793,0.08845481,0.00243962,0.8538556],"study_design_scores_gemma":[0.001292167,0.005408015,0.002020798,0.001714974,0.00003805601,0.00118819,0.7748859,0.001209986,0.1630999,0.04813507,0.0005631332,0.000443766],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985643,0.0006726289,0.0005482762,0.009180734,0.0004868984,0.002029001,0.000006871611,0.000709162,0.000723404],"genre_scores_gemma":[0.9981438,0.0001306984,0.000897841,0.0002392029,0.00001728851,0.0004373244,2.418878e-7,0.00001629193,0.0001172991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8534117,"threshold_uncertainty_score":0.9996474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203965848522731,"score_gpt":0.3427312425160414,"score_spread":0.3223346576637683,"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."}}