{"id":"W1611901023","doi":"10.1609/aaai.v25i1.7823","title":"The Compressed Differential Heuristic","year":2011,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Israel Science Foundation","keywords":"Uncompressed video; Heuristic; Computer science; Differential (mechanical device); Compression (physics); State (computer science); Algorithm; Computer engineering; Parallel computing; Computer hardware; Artificial intelligence; Materials science; 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":[0.0007327645,0.000707129,0.0009476123,0.00115268,0.0004821945,0.0009183664,0.001909294,0.001090679,0.007726148],"category_scores_gemma":[0.003907805,0.0003546111,0.0005013059,0.001157939,0.0008936045,0.001718985,0.001787172,0.0009913179,0.0006022161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101871,"about_ca_system_score_gemma":0.00171195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003034002,"about_ca_topic_score_gemma":0.002832034,"domain_scores_codex":[0.999313,0.0001825353,0.00003612112,0.00009211439,0.0002785455,0.00009772945],"domain_scores_gemma":[0.9986865,0.0007988043,0.00008876454,0.0002008339,0.0001622424,0.00006273218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005075189,0.0002538006,0.0009213051,0.0004525989,0.00008376207,0.0003759541,0.0002089487,0.5515367,0.005272427,0.05962265,0.009315427,0.3714489],"study_design_scores_gemma":[0.0001561607,0.0002180728,0.0002777353,0.00007130941,0.00004279676,0.0002070579,0.00006187421,0.9558531,0.004124237,0.02993081,0.00902728,0.00002952871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.078435,0.002122658,0.8796908,0.001012826,0.0004482575,0.0005250035,0.0005813416,0.001731513,0.03545258],"genre_scores_gemma":[0.6265324,0.0009264144,0.3593783,0.0007108108,0.0001541893,0.0005539991,0.0008507827,0.00022744,0.01066573],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007726148,"threshold_uncertainty_score":0.0258466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134526097418381,"score_gpt":0.3040097206926812,"score_spread":0.1694836232743002,"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."}}