{"id":"W2071536164","doi":"10.1109/lcomm.2012.042512.112350","title":"Which Vehicle To Select?","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network","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":[0.0001103024,0.00007352519,0.00006421207,0.00009831825,0.0001098963,0.00001697447,0.0003534478,0.00002823737,0.0000339798],"category_scores_gemma":[0.00001210839,0.00008681085,0.00002156111,0.0006571701,0.00002277359,0.0001715275,0.00001207717,0.000147271,0.0003428169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005009624,"about_ca_system_score_gemma":0.00000692307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001509023,"about_ca_topic_score_gemma":0.0001929359,"domain_scores_codex":[0.9994884,0.00001955103,0.0001677338,0.00005510973,0.00007198937,0.0001971842],"domain_scores_gemma":[0.9989229,0.00004870517,0.00001126936,0.0008769142,0.0000556859,0.00008456991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003809761,0.0002192448,0.03061491,0.00003341639,0.0001116972,1.407052e-7,0.00649392,0.02849447,0.8130916,0.01153136,0.1039364,0.005469021],"study_design_scores_gemma":[0.0004437863,0.00001624511,0.3882146,0.0000313663,0.00005319014,0.000004875263,0.000275608,0.005684509,0.03074418,0.00003988899,0.573833,0.0006587325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483356,0.000105525,0.02643346,0.01718532,0.0004058962,0.0002456621,0.00002038852,0.0006332169,0.006634962],"genre_scores_gemma":[0.9901281,0.00001855891,0.007243509,0.002374902,0.00004705345,0.0001019367,0.0000392433,0.00001869194,0.0000279946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7823474,"threshold_uncertainty_score":0.4406331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628402782607482,"score_gpt":0.2627422847735626,"score_spread":0.2364582569474878,"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."}}