{"id":"W2089275169","doi":"10.1145/2002951.2002960","title":"Retroactive aspects","year":2011,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Hindsight bias; Source code; Programming language; Context (archaeology); Semantics (computer science); Program analysis; Code (set theory); Software 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009011311,0.00182677,0.0008514317,0.001510972,0.001224206,0.00644882,0.005122134,0.001653939,0.006507268],"category_scores_gemma":[0.02664625,0.001336583,0.001540291,0.001031854,0.004205779,0.01055381,0.006502849,0.00439124,0.002578547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247928,"about_ca_system_score_gemma":0.002192957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526762,"about_ca_topic_score_gemma":0.002033662,"domain_scores_codex":[0.9887151,0.002910775,0.0006257005,0.002104999,0.004899463,0.0007438537],"domain_scores_gemma":[0.9681686,0.01018052,0.001490216,0.01566006,0.003849037,0.0006514593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006793926,0.0003214178,0.006094245,0.0008134235,0.0001763581,0.001541662,0.007460722,0.01044109,0.02972696,0.5825261,0.01670636,0.3435122],"study_design_scores_gemma":[0.0001119464,0.0002927632,0.001026627,0.0003660535,0.0003198395,0.002294627,0.001236035,0.08439095,0.06412435,0.5195231,0.3261733,0.0001403306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01413274,0.0004084456,0.9536312,0.000872672,0.0001753641,0.0002194555,0.0001838845,0.006995292,0.02338091],"genre_scores_gemma":[0.3205495,0.0007439627,0.633948,0.0015357,0.0003183516,0.0005282133,0.0007867845,0.007723563,0.03386601],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009011311,"threshold_uncertainty_score":0.04765695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564321207383253,"score_gpt":0.2412782683952918,"score_spread":0.2056350563214593,"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."}}