{"id":"W7115036091","doi":"","title":"Conservative Garbage Collection in WebAssembly","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Garbage collection; Garbage; Manual memory management; Product (mathematics); Porting; Binary number","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003491497,0.0006574751,0.000645547,0.0008209948,0.0004207302,0.00009453409,0.0003577878,0.0008418003,0.0002007767],"category_scores_gemma":[0.0002808492,0.0007871571,0.0001639238,0.001027518,0.00001502506,0.0005166997,0.00004123339,0.001308615,0.00006464322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009218682,"about_ca_system_score_gemma":0.00006654785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003362593,"about_ca_topic_score_gemma":0.006366033,"domain_scores_codex":[0.9975154,0.0001160611,0.0007642403,0.0006817669,0.0003911633,0.0005313912],"domain_scores_gemma":[0.9988832,0.0001649245,0.0002010578,0.000390815,0.0002338325,0.0001261828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001718904,0.0010708,0.0004733129,0.02223997,0.001977094,0.0004581723,0.0003186208,0.3092598,0.03209889,0.09184656,0.0006057269,0.5379322],"study_design_scores_gemma":[0.00562527,0.0003178221,0.01744388,0.006343174,0.0006114517,0.00002243612,0.001080982,0.03752099,0.7341186,0.02804564,0.1627935,0.00607631],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6684928,0.0004122406,0.000005846637,0.000008379799,0.002108681,0.0007880055,0.0002751699,0.0007362785,0.3271726],"genre_scores_gemma":[0.9695405,0.0008512298,0.0007802675,0.00008940014,0.00002775644,0.0003231662,0.001238649,0.0001787792,0.0269703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7020197,"threshold_uncertainty_score":0.999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116755404764323,"score_gpt":0.2181301858097293,"score_spread":0.2069626317620861,"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."}}