{"id":"W4403557064","doi":"10.1007/978-3-031-74498-3_2","title":"Invited Paper: A Survey of the Impact of Knowledge on the Competitive Ratio in Linear Search","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Competitive analysis; Operations research; Information retrieval; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003796754,0.000873448,0.00165392,0.003253956,0.0006503676,0.005469534,0.001890676,0.001989081,0.02034851],"category_scores_gemma":[0.02617129,0.0004839324,0.0005979417,0.01122591,0.002093622,0.008930557,0.001273474,0.002380548,0.00512626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002606656,"about_ca_system_score_gemma":0.001305211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002424912,"about_ca_topic_score_gemma":0.001705966,"domain_scores_codex":[0.9973328,0.0009202902,0.0001138434,0.0004146776,0.00100854,0.0002097797],"domain_scores_gemma":[0.9645653,0.03133254,0.0006677621,0.0007753267,0.002111159,0.0005479815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003505367,0.0001968642,0.002166675,0.002881602,0.0001466219,0.0001005925,0.00011218,0.01273184,0.0004589013,0.2695837,0.08964027,0.6216303],"study_design_scores_gemma":[0.0001158433,0.0002575831,0.004185061,0.001425745,0.0001958641,0.0006645002,0.0002187019,0.03935985,0.001937889,0.6776442,0.2738776,0.0001171079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01665026,0.7274098,0.03744226,0.02001505,0.002767046,0.00003750789,0.0008526146,0.0002428571,0.1945826],"genre_scores_gemma":[0.3264545,0.5863375,0.02720445,0.006971401,0.01791107,0.00009045888,0.001613665,0.0005771758,0.03283985],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02034851,"threshold_uncertainty_score":0.06807256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304661691225021,"score_gpt":0.3129956036367817,"score_spread":0.2699489867245315,"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."}}