{"id":"W4232915110","doi":"10.1109/mc.2018.2886936","title":"Table of Contents","year":2018,"lang":"en","type":"article","venue":"Computer","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Niagara","funders":"","keywords":"Computer science; Table (database); Database","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":[0.00000808414,0.00002715244,0.00004737619,0.00001729404,0.000007610201,0.000003736496,0.0000632021,0.0000204231,0.00004139255],"category_scores_gemma":[0.00000115364,0.00002406523,0.000009784963,0.00003649183,0.00003370635,0.00001982562,0.00002761919,0.00001845393,0.00003561589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002485609,"about_ca_system_score_gemma":6.707244e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003349106,"about_ca_topic_score_gemma":0.00000130979,"domain_scores_codex":[0.9998443,7.250553e-7,0.00004363373,0.00002916366,0.00002207347,0.00006009907],"domain_scores_gemma":[0.9998807,0.000005465972,0.00000438671,0.00008567076,0.00001761221,0.000006216856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008619565,0.00004246319,0.02151457,0.0001596316,0.000178357,0.00000849831,0.0005424307,0.001683114,0.01060139,0.01730234,0.7230189,0.2249397],"study_design_scores_gemma":[0.0006035533,0.0002593837,0.02774293,0.00007893249,0.000008946078,0.000008047899,0.00006547871,0.2102386,0.1851551,0.002115189,0.5734416,0.0002821855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049613,0.0001661294,0.08071569,0.00003463644,0.001247261,0.00004106002,0.000003037539,0.000506338,0.0123245],"genre_scores_gemma":[0.9960034,0.000005644904,0.00377907,0.00002228049,0.0001123261,8.712216e-7,4.406276e-7,0.000004291152,0.00007162418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2246575,"threshold_uncertainty_score":0.09813517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599269252697913,"score_gpt":0.1922825524766407,"score_spread":0.1762898599496615,"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."}}