{"id":"W2077929058","doi":"10.1007/s10922-006-9025-x","title":"Reducing Resource Usage Based on User Hints and Policies","year":2006,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Research Council Canada","keywords":"Computer science; Window (computing); Resource (disambiguation); Architecture; Resource consumption; User requirements document; Multimedia; Video on demand; User experience design; User interface; World Wide Web; Human–computer interaction; Computer network; Operating system; Software engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002697336,0.001406519,0.001662703,0.001299587,0.000829337,0.001744615,0.001793294,0.001225104,0.001372022],"category_scores_gemma":[0.01959248,0.0006170357,0.0003807429,0.0009647938,0.0005824182,0.003230866,0.0009240082,0.001876667,0.0004984007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006279608,"about_ca_system_score_gemma":0.002010921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00399247,"about_ca_topic_score_gemma":0.005839751,"domain_scores_codex":[0.9969754,0.001155064,0.0002503264,0.0003520492,0.0009059051,0.0003612825],"domain_scores_gemma":[0.9804357,0.01104081,0.001024042,0.003288363,0.002970055,0.001240921],"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":[0.009606671,0.003503628,0.06407114,0.0004386835,0.0003601368,0.0005085611,0.0007076371,0.1827316,0.1058349,0.006959813,0.008549555,0.6167277],"study_design_scores_gemma":[0.00008667042,0.000407835,0.008603816,0.00002824165,0.0001760367,0.0001853247,0.0001768697,0.9561575,0.02839309,0.004631658,0.00107682,0.00007599799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7290904,0.001709287,0.2496206,0.00112159,0.000263752,0.0002724261,0.0002444632,0.01277661,0.004900721],"genre_scores_gemma":[0.9732911,0.0001185681,0.02555613,0.0001054495,0.00003680278,0.00002535032,0.00008350889,0.0001332594,0.0006498425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00399247,"threshold_uncertainty_score":0.01426506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246418102106651,"score_gpt":0.2242076214903113,"score_spread":0.2117434404692448,"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."}}