{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007466431,0.00004340991,0.00004464657,0.00004635809,0.00003912608,0.00002391185,0.0003806954,0.00002095526,0.00004989084],"category_scores_gemma":[0.00001094568,0.00003652089,0.000019228,0.0001575876,0.00001081085,0.0001852491,0.00009980185,0.00004045394,0.00006525646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009676602,"about_ca_system_score_gemma":0.00001470356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002129217,"about_ca_topic_score_gemma":7.274056e-7,"domain_scores_codex":[0.9996204,0.00001756666,0.00006075278,0.0001414404,0.0000658166,0.00009396628],"domain_scores_gemma":[0.9996468,0.00001020496,0.00002415627,0.0002480304,0.00003756872,0.00003324328],"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":[0.000001121793,0.00003124959,0.0001948936,6.403723e-7,0.000004816166,0.000005380589,0.0006032963,0.00001388715,0.0000281954,0.9874932,0.004051751,0.007571554],"study_design_scores_gemma":[0.0004195183,0.0004336052,0.01843894,0.00001779935,0.000005094651,0.00005074991,0.00004668081,0.3794124,0.1877493,0.4072108,0.005501972,0.0007131806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001711856,0.000006265444,0.6037152,0.00003811084,0.00004018904,0.00001964312,2.223878e-8,0.0005420443,0.3954673],"genre_scores_gemma":[0.5136677,0.000002212597,0.4856341,0.0001716788,0.00000723327,0.000001373838,8.025063e-8,0.000001517322,0.0005140761],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5802824,"threshold_uncertainty_score":0.1489279,"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."}}