{"id":"W2402441262","doi":"","title":"Meeting Scheduling Assembles Children in the Rectangular Forest.","year":2009,"lang":"en","type":"article","venue":"IAT","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Negotiation; Scheduling (production processes); Computer science; Dynamic priority scheduling; Operations research; Distributed computing; Mathematical optimization; Mathematics; Computer network; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007895491,0.0001007051,0.00009079526,0.00007595171,0.00009231015,0.0001604719,0.001033895,0.00002912684,0.000002577854],"category_scores_gemma":[0.00002826201,0.00007522435,0.00004677367,0.0004559378,0.000008346102,0.0001932168,0.0001137151,0.0001199922,0.0000272285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004657042,"about_ca_system_score_gemma":0.00001579101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000590065,"about_ca_topic_score_gemma":0.00005041557,"domain_scores_codex":[0.9988756,0.0001189024,0.000168853,0.0002770926,0.0002728767,0.0002867241],"domain_scores_gemma":[0.9992659,0.00007777664,0.00005988142,0.0005554273,0.00001253952,0.00002844501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001537823,0.0004831395,0.1044245,0.00002804902,0.00005588124,0.0003322586,0.003241606,0.2213977,0.0006736246,0.1663512,0.01482583,0.4881707],"study_design_scores_gemma":[0.001276031,0.0003585191,0.6052425,0.0003081237,0.00003331372,0.00004204998,0.0001830737,0.3440463,0.001249051,0.03943257,0.006964726,0.0008637883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545291,0.001273386,0.1291954,0.005764172,0.0002743352,0.0006222107,2.508368e-7,0.0002114848,0.008129682],"genre_scores_gemma":[0.9813526,0.00002983093,0.0158877,0.002517808,0.0001662763,0.00001502749,0.00000160737,0.000004703526,0.00002444116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.500818,"threshold_uncertainty_score":0.306756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009820983041604012,"score_gpt":0.2320800932715338,"score_spread":0.2222591102299298,"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."}}