{"id":"W2030831602","doi":"10.1145/2663887.2663902","title":"ACH Walkthrough","year":2014,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Software walkthrough; Computer science; JavaScript; HTML5; Software deployment; Cognitive walkthrough; Flexibility (engineering); Software; Visualization; Reflection (computer programming); Human–computer interaction; Usability; World Wide Web; Software engineering; Software development; Pluralistic walkthrough; Software construction; Artificial intelligence; Operating system","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":[0.002782172,0.001408058,0.0008276977,0.001802914,0.001035927,0.002891346,0.00200118,0.001571791,0.1061165],"category_scores_gemma":[0.01646122,0.0006314603,0.001016717,0.0009675586,0.000612493,0.002935214,0.003746164,0.001790622,0.03154611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006063389,"about_ca_system_score_gemma":0.001098395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676653,"about_ca_topic_score_gemma":0.002861439,"domain_scores_codex":[0.9976036,0.0008954701,0.000144058,0.0003684349,0.0007706614,0.0002178808],"domain_scores_gemma":[0.9861928,0.008148759,0.0003242442,0.002207339,0.002104447,0.0010224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002977705,0.001298815,0.00388151,0.001405799,0.0001051498,0.004467065,0.00821724,0.005613775,0.03052772,0.017765,0.3912427,0.5324975],"study_design_scores_gemma":[0.0004688821,0.0005517999,0.003466534,0.0006879775,0.00004960159,0.001997333,0.001994075,0.03627311,0.01797483,0.02658651,0.9097015,0.0002478047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03429868,0.0006925743,0.6823311,0.002665605,0.001069527,0.002606119,0.009339306,0.1574757,0.1095213],"genre_scores_gemma":[0.2380848,0.0007533723,0.5685547,0.002155269,0.0004131919,0.003040188,0.01219985,0.02398408,0.1508146],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1061165,"threshold_uncertainty_score":0.3549951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997861053427115,"score_gpt":0.2929082402569325,"score_spread":0.2729296297226613,"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."}}