{"id":"W1544328073","doi":"10.1007/3-540-44472-6_29","title":"Flexible Integration of Optimistic and Pessimistic Concurrency Control in Mobile Environments","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Computation; Database transaction; Distributed computing; Concurrency control; Cache; State (computer science); Concurrency; Parallel computing; Database; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004747747,0.0003654927,0.0006001159,0.0004038142,0.00007777405,0.0001728503,0.001214279,0.0002171083,0.00002931059],"category_scores_gemma":[0.00003551385,0.0003342534,0.00005979007,0.0003118653,0.0005432264,0.0003518512,0.0002111337,0.000435928,0.00001004251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579591,"about_ca_system_score_gemma":0.0001941036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000298372,"about_ca_topic_score_gemma":0.00001971912,"domain_scores_codex":[0.9973889,0.00003011713,0.0006568313,0.0009817422,0.0005574051,0.0003850144],"domain_scores_gemma":[0.9986004,0.000265024,0.0002847005,0.0006881109,0.00005290308,0.0001088173],"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":[0.00001268018,0.00006358053,0.0001010569,0.00006325284,0.000007544486,0.00004334544,0.0005891446,0.06421942,0.0004464223,0.009134901,0.000008550915,0.9253101],"study_design_scores_gemma":[0.001040907,0.0003097632,0.0006644789,0.001194809,0.00001113174,0.000043665,4.803153e-7,0.957644,0.0006337253,0.03593188,0.001906569,0.0006186245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002200104,0.001630521,0.9949734,0.00004722963,0.0004704068,0.0004825466,0.00003534366,0.00002988105,0.00211069],"genre_scores_gemma":[0.9756517,0.0001917551,0.02364182,0.0001742614,0.00007664343,0.00002713334,0.000009342745,0.00001492111,0.000212401],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9754317,"threshold_uncertainty_score":0.999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077594927647704,"score_gpt":0.2371856500738128,"score_spread":0.2264097007973358,"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."}}