{"id":"W2146304120","doi":"10.1109/isese.2003.1237980","title":"The application of capture-recapture log-linear models to software inspections data","year":2004,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Robustness (evolution); Software; Computer science; Software inspection; Log-linear model; Data mining; Software quality; Linear model; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001947275,0.0000781792,0.00009732891,0.00003525933,0.0001527873,0.0000135655,0.0002653228,0.00005848329,0.00001045913],"category_scores_gemma":[0.0001825954,0.00005284061,0.0000268464,0.0002032664,0.0000240526,0.0001447398,0.00007709203,0.00007470663,0.0000225577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003862589,"about_ca_system_score_gemma":0.00003575129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005343697,"about_ca_topic_score_gemma":0.001618877,"domain_scores_codex":[0.9992915,0.00001286401,0.0002591959,0.0001643322,0.0001730178,0.00009907086],"domain_scores_gemma":[0.9987935,0.0001194216,0.00009816068,0.0008098878,0.0001365485,0.00004243871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001210038,0.00009214127,0.0001603001,0.00002624633,0.00001787252,1.281373e-7,0.0007574014,0.07843709,0.0001392443,0.9106681,0.004848158,0.004841232],"study_design_scores_gemma":[0.0003593895,0.00002385221,0.0008639798,0.00002468253,0.00004722444,0.000007290786,0.0002523141,0.1222285,0.0004555707,0.8652493,0.01031322,0.0001747191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008124372,0.00003116604,0.9878726,0.001793648,0.00007207032,0.00039364,0.00006915198,0.0001120648,0.001531298],"genre_scores_gemma":[0.7981154,0.000004929088,0.2010939,0.0001225741,0.000069915,0.00002223276,0.0001453298,0.00001465573,0.0004110335],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7899911,"threshold_uncertainty_score":0.2154777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003936883708735,"score_gpt":0.3502276454481048,"score_spread":0.2498339570772312,"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."}}