{"id":"W4323777564","doi":"10.1177/20563051231158822","title":"Stumbling Blocks and Alternative Paths: Reconsidering the Walkthrough Method for Analyzing Apps","year":2023,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Software walkthrough; Personalization; Computer science; Data science; Process (computing); TRACE (psycholinguistics); Strengths and weaknesses; Human–computer interaction; World Wide Web; Management science; Engineering; Psychology; Software; Social psychology; Software development","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":[0.0378335,0.001292513,0.0008590647,0.006412751,0.004139873,0.01291095,0.002701073,0.002860213,0.005424702],"category_scores_gemma":[0.09632214,0.001101312,0.0008505369,0.003514062,0.01328137,0.01469415,0.006747772,0.003534816,0.001667107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207302,"about_ca_system_score_gemma":0.006211936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003814349,"about_ca_topic_score_gemma":0.009733912,"domain_scores_codex":[0.9644667,0.02836872,0.001071816,0.002543364,0.002787912,0.0007616215],"domain_scores_gemma":[0.8835059,0.09567256,0.003086279,0.01086002,0.005853428,0.001021856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002616762,0.0002366423,0.01047628,0.001556819,0.00007731742,0.001498976,0.4101022,0.001772241,0.007874322,0.2803171,0.007318238,0.2785082],"study_design_scores_gemma":[0.0001293391,0.0004731387,0.007617805,0.005340455,0.000115436,0.002521349,0.2208256,0.02291289,0.01086687,0.4261577,0.3026807,0.0003588954],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0429877,0.0007584157,0.9356824,0.003599538,0.0003365837,0.001086402,0.0002838444,0.0009353659,0.01432967],"genre_scores_gemma":[0.2334718,0.0005774788,0.7567798,0.0009084913,0.00005847215,0.002198739,0.0002309136,0.0006432974,0.005130879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0378335,"threshold_uncertainty_score":0.200085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253569177565825,"score_gpt":0.3592799141799859,"score_spread":0.2339229964234035,"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."}}