{"id":"W2099706779","doi":"10.1109/icsm.2009.5306335","title":"Searching and skimming: An exploratory study","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Formative assessment; Task (project management); Source code; Program comprehension; Exploratory research; Code (set theory); Task analysis; Software; Code review; Human–computer interaction; Software engineering; Static program analysis; Software development; World Wide Web; Data science; Software system; Programming language; Set (abstract data type); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005018869,0.00006315906,0.00006384232,0.0001129783,0.00007203082,0.000207081,0.0004442,0.00001442659,0.000003802435],"category_scores_gemma":[0.000120556,0.00005570648,0.00000793885,0.0002170622,0.00001011135,0.0006194459,0.0001449501,0.0001214352,0.00001533089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001435844,"about_ca_system_score_gemma":0.00002390762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007883673,"about_ca_topic_score_gemma":0.00000613047,"domain_scores_codex":[0.9991593,0.00005405913,0.00006870931,0.0002559376,0.0002598234,0.0002021895],"domain_scores_gemma":[0.9992833,0.0001449135,0.000006259424,0.0004014832,0.00002899643,0.000135032],"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":[0.000009042856,0.001096121,0.08681813,0.00001443368,0.00002693687,0.0003040482,0.04639317,0.0005401368,0.00412487,0.04160626,0.0004586956,0.8186082],"study_design_scores_gemma":[0.001077278,0.002977678,0.9061705,0.00001749204,0.000003291878,0.00003652522,0.002765446,0.07922687,0.002462622,0.003841782,0.0008143255,0.000606136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8207071,0.00003321959,0.1783162,0.000167974,0.00003994698,0.0001124626,3.121612e-8,0.0003827467,0.0002403269],"genre_scores_gemma":[0.9824376,0.000001395609,0.01736219,0.00007642029,0.00002751021,0.000003981504,1.042432e-7,0.000003862524,0.00008692101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8193524,"threshold_uncertainty_score":0.2271645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435352700635105,"score_gpt":0.310245941000154,"score_spread":0.2758924139938029,"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."}}