{"id":"W2952911535","doi":"10.48550/arxiv.1407.1428","title":"Fast Rendezvous with Advice","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Rendezvous; Advice (programming); Psychology; Computer science; Engineering; Aerospace engineering","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":[0.001034989,0.001376702,0.001260728,0.0005222527,0.001062744,0.00119446,0.002081256,0.001543407,0.005988465],"category_scores_gemma":[0.007543652,0.0006932526,0.0008210131,0.0006113155,0.001730058,0.002914713,0.002835531,0.001650172,0.001211156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224213,"about_ca_system_score_gemma":0.001397075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006848126,"about_ca_topic_score_gemma":0.006517705,"domain_scores_codex":[0.9983602,0.0002502358,0.00007600825,0.0004756382,0.0003443736,0.0004933903],"domain_scores_gemma":[0.9956353,0.002779693,0.000360586,0.0007008132,0.0002575471,0.0002660392],"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":[0.002461794,0.0002031309,0.003335158,0.0007041242,0.0001236947,0.0005929427,0.0009926112,0.7706997,0.03389497,0.0647568,0.007656525,0.1145786],"study_design_scores_gemma":[0.0002281981,0.0003007794,0.0006922253,0.00005068127,0.00003543857,0.0002422429,0.000242323,0.9130873,0.01314338,0.06519001,0.006752233,0.00003520976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2396657,0.000853434,0.734264,0.0008632758,0.0001090142,0.000246203,0.0006215482,0.005624564,0.01775228],"genre_scores_gemma":[0.7369522,0.0003272128,0.2506897,0.0001966088,0.00004393564,0.0002501269,0.0008313297,0.0005119615,0.01019696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006848126,"threshold_uncertainty_score":0.02003348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04878298937957758,"score_gpt":0.1774679760883414,"score_spread":0.1286849867087638,"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."}}