{"id":"W2155151396","doi":"10.1109/ictai.2004.69","title":"Human perception of software complexity: knowledge discovery from software data","year":2005,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software; Programming complexity; Perception; Process (computing); Data science; Software development; Software engineering; Data mining; Software construction; Programming language","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":[0.007528249,0.0005078861,0.0009750823,0.007089661,0.0008673072,0.004377718,0.001862935,0.001733105,0.0009303798],"category_scores_gemma":[0.07046334,0.0005935602,0.0008165074,0.005072783,0.003185314,0.009170433,0.00248708,0.001920387,0.0003463046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000973651,"about_ca_system_score_gemma":0.001686046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002630861,"about_ca_topic_score_gemma":0.002624769,"domain_scores_codex":[0.9925439,0.003371877,0.0005134264,0.0009532505,0.002430093,0.0001875541],"domain_scores_gemma":[0.9195601,0.06781146,0.002493136,0.006448353,0.003162025,0.0005250316],"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":[0.0005651193,0.001137126,0.0817298,0.002196068,0.0004774198,0.001336215,0.02549002,0.01624088,0.008786025,0.04085813,0.004360942,0.8168222],"study_design_scores_gemma":[0.0001724036,0.0006816908,0.08690353,0.001345195,0.0004250152,0.002426041,0.02564237,0.2862665,0.02331932,0.543642,0.0286998,0.0004760971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4674924,0.002791001,0.5141737,0.005470594,0.00006589652,0.0005491003,0.001938776,0.0005834123,0.006935118],"genre_scores_gemma":[0.7898225,0.001581137,0.205698,0.0003325631,0.00005659169,0.0003185985,0.001612797,0.00003910284,0.0005387032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007528249,"threshold_uncertainty_score":0.03981364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08841172534694995,"score_gpt":0.3356505208114203,"score_spread":0.2472387954644704,"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."}}