{"id":"W4236702796","doi":"10.1145/2365864.2151044","title":"Execution mining","year":2012,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artifact (error); Source code; Programming language; Code (set theory); Simple (philosophy); Execution model; Representation (politics); Software engineering; Distributed computing; Operating system; Set (abstract data type)","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":[0.001613446,0.001697742,0.0007984202,0.00577401,0.001145336,0.002495065,0.002643745,0.001044939,0.01139372],"category_scores_gemma":[0.008783263,0.0005767695,0.001637898,0.003849192,0.0004355658,0.002085738,0.001516474,0.001521929,0.009058696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007005993,"about_ca_system_score_gemma":0.003091427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004260615,"about_ca_topic_score_gemma":0.008173757,"domain_scores_codex":[0.9977232,0.0002100412,0.0002580921,0.0007978112,0.0008138314,0.0001970488],"domain_scores_gemma":[0.9967913,0.001180238,0.000317646,0.0008050914,0.0007631646,0.0001425852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006651432,0.0005056896,0.04117485,0.002195542,0.0003676087,0.001712503,0.0005213892,0.02272293,0.01118496,0.02569745,0.2313323,0.6619196],"study_design_scores_gemma":[0.0001764527,0.0002305134,0.02219604,0.0006707806,0.0003148575,0.002336906,0.0008780307,0.3313744,0.03590879,0.05617535,0.5496068,0.0001311362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07777094,0.004468997,0.5811351,0.002114429,0.0007705674,0.002741281,0.1887233,0.09072962,0.05154584],"genre_scores_gemma":[0.2098418,0.00261603,0.4671979,0.0005078804,0.0002415308,0.001469346,0.2891657,0.004101613,0.02485814],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01139372,"threshold_uncertainty_score":0.0381158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592149768555107,"score_gpt":0.2643662544109961,"score_spread":0.2384447567254451,"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."}}