{"id":"W4411469861","doi":"10.1145/3707640.3731913","title":"ScholarMate: A Mixed-Initiative Tool for Qualitative Knowledge Work and Information Sensemaking","year":2025,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensemaking; Knowledge management; Work (physics); Computer science; Qualitative research; Data science; Human–computer interaction; Engineering; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03611299,0.001800659,0.001134091,0.007387711,0.001997839,0.005668516,0.004071439,0.001706959,0.05473301],"category_scores_gemma":[0.09483443,0.001538155,0.001769238,0.003945315,0.002366258,0.005654857,0.01200513,0.001835699,0.008350288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733448,"about_ca_system_score_gemma":0.004617271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009910639,"about_ca_topic_score_gemma":0.004169577,"domain_scores_codex":[0.9847525,0.01058104,0.001157994,0.001600138,0.00161493,0.0002934412],"domain_scores_gemma":[0.8593775,0.1221338,0.00307291,0.009640062,0.003794118,0.001981751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002406603,0.000676298,0.004114541,0.01295985,0.000581994,0.001795172,0.09655853,0.004221495,0.03455383,0.06182848,0.1588509,0.6214524],"study_design_scores_gemma":[0.001476511,0.0005155882,0.004402252,0.003019618,0.0002672338,0.001162528,0.0220709,0.03905072,0.02583459,0.1430796,0.758464,0.0006563886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01112595,0.0005284247,0.8865293,0.002287285,0.0005109764,0.003721081,0.01986666,0.05933236,0.01609803],"genre_scores_gemma":[0.03491924,0.0002166892,0.9355202,0.0004813801,0.00007132057,0.01350556,0.004297853,0.004658176,0.00632949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05473301,"threshold_uncertainty_score":0.190986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07831733689501354,"score_gpt":0.3597779535521843,"score_spread":0.2814606166571708,"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."}}