{"id":"W4308623371","doi":"10.1145/3550356.3559099","title":"Preliminary results of measuring flow experience in a software modeling tool","year":2022,"lang":"en","type":"article","venue":"","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Task (project management); Computer science; User experience design; Software; Flow (mathematics); Human–computer interaction; Empirical research; Strengths and weaknesses; Measure (data warehouse); Psychology; Social psychology; Engineering; Systems 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":[0.004560679,0.0004422463,0.0002274212,0.001222715,0.0007211397,0.001171823,0.0003991667,0.0005449522,0.003683202],"category_scores_gemma":[0.0263907,0.0002522894,0.0003810762,0.0004472008,0.0005273035,0.001053525,0.001127647,0.0007482183,0.0004696863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003831718,"about_ca_system_score_gemma":0.0003915303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007337358,"about_ca_topic_score_gemma":0.001067584,"domain_scores_codex":[0.9975696,0.001166771,0.0001847377,0.0002471024,0.0004918368,0.0003399859],"domain_scores_gemma":[0.9745286,0.01738205,0.001860161,0.0008234657,0.003499337,0.001906335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00199104,0.008256371,0.4954081,0.001076178,0.0001014858,0.001173905,0.1748257,0.001084345,0.0956581,0.001046892,0.002254348,0.2171235],"study_design_scores_gemma":[0.00005412388,0.00823844,0.9189792,0.0001365354,0.00008577302,0.0005049389,0.03860286,0.003142195,0.02400079,0.0005476759,0.005596519,0.0001109918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954976,0.00001753301,0.002469077,0.00003749464,0.000005324244,0.0001526651,0.00006942538,0.00004740074,0.001703471],"genre_scores_gemma":[0.9913896,0.00004464291,0.006243537,0.00005073943,0.000009930543,0.0002401819,0.0001499667,0.00002578707,0.001845619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004560679,"threshold_uncertainty_score":0.02411944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0718018255429315,"score_gpt":0.3204557913818925,"score_spread":0.248653965838961,"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."}}