{"id":"W3011508484","doi":"10.1145/3380961","title":"Countdown Timer Speed","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Computer-Human Interaction","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Countdown; Task (project management); Recall; Affect (linguistics); Perception; Computer science; Psychology; Pace; Cognitive psychology; Human–computer interaction; Communication; Engineering","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":[0.003259579,0.001666175,0.0007728728,0.001190435,0.0004849207,0.002650864,0.001732005,0.00106022,0.01399773],"category_scores_gemma":[0.04328433,0.0006994012,0.0004204231,0.0006568159,0.0004360699,0.003253727,0.001651497,0.001579497,0.002932384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006634949,"about_ca_system_score_gemma":0.0007093009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008726798,"about_ca_topic_score_gemma":0.0005716537,"domain_scores_codex":[0.9969807,0.0005417975,0.0004367225,0.0008333608,0.0009578131,0.0002495247],"domain_scores_gemma":[0.9733309,0.01478435,0.002730156,0.004794611,0.003230348,0.001129635],"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":[0.01144347,0.001743728,0.06610004,0.00292992,0.0003409585,0.001162084,0.006908791,0.01196084,0.316947,0.02518474,0.01726392,0.5380144],"study_design_scores_gemma":[0.001915814,0.0103069,0.09893957,0.001041533,0.001663489,0.005114872,0.001959782,0.1342268,0.4490176,0.03079838,0.2639866,0.00102869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7326959,0.003495686,0.2166238,0.0008540961,0.001325718,0.00121864,0.001306909,0.01504415,0.02743506],"genre_scores_gemma":[0.9381899,0.0005796068,0.05348212,0.0003176744,0.0001259049,0.0007382591,0.000599485,0.001130517,0.004836543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01399773,"threshold_uncertainty_score":0.04682708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3538164279161246,"score_gpt":0.4488645485145945,"score_spread":0.0950481205984699,"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."}}