{"id":"W2783747032","doi":"","title":"Improving garbage collection-time string deduplication.","year":2017,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Data deduplication; Garbage collection; Computer science; Database; Garbage; Manual memory management; String (physics); Parallel computing; Programming language; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009833741,0.0001345913,0.000220428,0.00005304192,0.002060672,0.0001184644,0.0008767985,0.00004314164,0.00004157694],"category_scores_gemma":[0.00328002,0.00009551628,0.00005819267,0.0003501853,0.0008197781,0.000222379,0.0008338263,0.0001880856,0.00002640249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301309,"about_ca_system_score_gemma":0.00005681039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003384163,"about_ca_topic_score_gemma":0.0001547927,"domain_scores_codex":[0.9984035,0.0001401658,0.0002256492,0.0003828126,0.0005110924,0.000336767],"domain_scores_gemma":[0.9978849,0.0003939473,0.0003137026,0.0007681793,0.0005919006,0.00004741313],"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":[0.001861779,0.00102107,0.02973239,0.0006608118,0.0007632671,0.000005593241,0.0102385,0.008422968,0.3711056,0.05216147,0.1494613,0.3745652],"study_design_scores_gemma":[0.002652391,0.001139635,0.01344345,0.0009475207,0.00006080881,4.770343e-7,0.01693978,0.01210705,0.8684249,0.02868039,0.05485159,0.0007519959],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862045,0.0005252126,0.003217639,0.02012065,0.0009856956,0.01005045,0.0001794095,0.0002079108,0.07850857],"genre_scores_gemma":[0.9791619,0.0002620174,0.002444725,0.00001787931,0.00002620571,0.0002140084,0.00000139858,0.00001373241,0.01785809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4973193,"threshold_uncertainty_score":0.9992385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08740542982887921,"score_gpt":0.3961081405441356,"score_spread":0.3087027107152564,"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."}}