{"id":"W4406915783","doi":"10.1016/j.ipm.2025.104069","title":"Bridging in-task emotional responses with post-task evaluations in digital library search interface user studies","year":2025,"lang":"en","type":"article","venue":"Information Processing & Management","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridging (networking); Digital library; Task (project management); Computer science; Interface (matter); Human–computer interaction; User interface; Information retrieval; World Wide Web; Cognitive psychology; Psychology; Engineering; Programming language; Linguistics","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":[0.007878037,0.0006225505,0.0006406228,0.0009454632,0.0004396442,0.001403627,0.0005291891,0.0006440038,0.002186918],"category_scores_gemma":[0.04681047,0.0003407233,0.0004991516,0.0006651763,0.0006637799,0.001157126,0.001315806,0.000820401,0.0007633992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003678668,"about_ca_system_score_gemma":0.0002461852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004122358,"about_ca_topic_score_gemma":0.0006372498,"domain_scores_codex":[0.9934469,0.003959663,0.0004959927,0.0005745079,0.001262815,0.0002600953],"domain_scores_gemma":[0.954161,0.0323398,0.005220812,0.002544604,0.004840767,0.0008930001],"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":[0.01222685,0.009391371,0.2310724,0.007488417,0.001024662,0.000848642,0.07178012,0.003943413,0.2930942,0.001223488,0.004556804,0.3633497],"study_design_scores_gemma":[0.0004918588,0.00967572,0.9298043,0.0003118259,0.0004766466,0.0004611492,0.009023272,0.008247737,0.0349124,0.00104002,0.005299442,0.0002556955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875191,0.0002252135,0.009428586,0.0000564984,0.00003712386,0.0005571137,0.0001534031,0.00008453362,0.001938439],"genre_scores_gemma":[0.9868047,0.0001675782,0.009295198,0.0001993208,0.00006562185,0.002050003,0.0002658565,0.00009574375,0.001056023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007878037,"threshold_uncertainty_score":0.04166353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273030418214271,"score_gpt":0.442975381671413,"score_spread":0.3156723398499859,"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."}}