{"id":"W4366547436","doi":"10.1145/3544548.3581326","title":"Focused Time Saves Nine: Evaluating Computer–Assisted Protected Time for Hybrid Information Work","year":2023,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"Microsoft Research","keywords":"Time management; Work (physics); Work time; Psychological intervention; Computer science; Intervention (counseling); Engineering; Medicine; Nursing; Operating system","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":[0.0009093396,0.0004114757,0.0004677013,0.0004865589,0.0003632606,0.0003676965,0.0006745273,0.0004812691,0.002780639],"category_scores_gemma":[0.003252836,0.0001884225,0.0005639793,0.0001990125,0.0003340759,0.000389459,0.0004776303,0.0004686299,0.0002364075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000398556,"about_ca_system_score_gemma":0.0006690157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000864147,"about_ca_topic_score_gemma":0.001244766,"domain_scores_codex":[0.9991918,0.0003906051,0.0001018693,0.0001003296,0.000140221,0.00007521048],"domain_scores_gemma":[0.9974555,0.001231659,0.0004382739,0.0001160616,0.0001254391,0.0006329981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.15166,0.1568471,0.03558854,0.003759453,0.001020077,0.0001661698,0.002766693,0.00306252,0.02571186,0.000378373,0.001093506,0.6179457],"study_design_scores_gemma":[0.02456132,0.6816535,0.2643891,0.0004313413,0.001831499,0.00017657,0.001363265,0.005877742,0.01450802,0.0003316853,0.004742699,0.0001332613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998607,0.0001422537,0.0003626049,0.0000306213,0.00001912586,0.0003060867,0.0000360848,0.00002328068,0.0004729411],"genre_scores_gemma":[0.9948366,0.0002658474,0.002954273,0.00005665088,0.00003779266,0.001142288,0.000105987,0.000005536425,0.0005949326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002780639,"threshold_uncertainty_score":0.009302199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2714429116571042,"score_gpt":0.4301722854745547,"score_spread":0.1587293738174506,"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."}}