{"id":"W2293808320","doi":"10.1609/socs.v2i1.18213","title":"The Compressed Differential Heuristic","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","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; Differential (mechanical device); Computer science; Compression (physics); State (computer science); Algorithm; State space; Space (punctuation); Theoretical computer science; Mathematics; Artificial intelligence; Statistics; 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":[0.0006097767,0.0006497428,0.0008256725,0.0010075,0.0004272439,0.0008276425,0.00163303,0.0009074896,0.007076177],"category_scores_gemma":[0.003282562,0.0003043149,0.0004109674,0.001045852,0.0008494338,0.001445243,0.001599425,0.0009010526,0.0005230889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009981324,"about_ca_system_score_gemma":0.001555572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726265,"about_ca_topic_score_gemma":0.002394298,"domain_scores_codex":[0.9994009,0.0001498163,0.00003018296,0.00008014367,0.0002533363,0.00008580311],"domain_scores_gemma":[0.998921,0.000624954,0.00007735717,0.0001798822,0.0001413697,0.00005539212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005123405,0.0002358969,0.0008324514,0.0003930194,0.00006590381,0.0003224923,0.0001761039,0.5572144,0.006963141,0.05305912,0.007730606,0.3724944],"study_design_scores_gemma":[0.0001252214,0.0001946217,0.0002463388,0.00005372312,0.00002992495,0.0001640956,0.00004618291,0.9654195,0.004415466,0.02176676,0.007514894,0.00002330538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09364024,0.001998742,0.866643,0.000944117,0.0004608197,0.0004565158,0.0005793313,0.001796119,0.03348119],"genre_scores_gemma":[0.6855158,0.0008059282,0.3015209,0.0005989138,0.000134573,0.0004608187,0.0007815888,0.0001966235,0.009984683],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007076177,"threshold_uncertainty_score":0.02367216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576639431812246,"score_gpt":0.2661855350763626,"score_spread":0.2504191407582401,"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."}}