{"id":"W2143804513","doi":"10.1145/2379756.2379759","title":"WoTKit","year":2012,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Web of Things; Computer science; Variety (cybernetics); Set (abstract data type); World Wide Web; Internet privacy; Internet of Things; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000148187,0.00003823667,0.00003701109,0.00002443687,0.00005217092,0.00004522283,0.0002883018,0.00001577168,0.0000112551],"category_scores_gemma":[0.000007072487,0.00003053075,0.00001972799,0.0001183475,0.000005400531,0.0003537372,0.0001665569,0.00003621489,0.000778995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007900252,"about_ca_system_score_gemma":0.000007181514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006220002,"about_ca_topic_score_gemma":6.329391e-8,"domain_scores_codex":[0.9995564,0.000009160241,0.00005438065,0.00007245818,0.00007222152,0.0002353751],"domain_scores_gemma":[0.9996997,0.0000230681,0.00001116396,0.0001875445,0.00001129245,0.00006730166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.7875e-7,0.00009343293,0.03149791,0.000006788397,0.0000103464,0.00000292039,0.002357871,0.000002528623,0.0005618097,0.2224144,0.3374329,0.4056183],"study_design_scores_gemma":[0.0001536748,0.00002222493,0.03286169,0.000005779114,0.000001868557,0.00002958985,0.00001083142,0.01983031,0.005439978,0.002740474,0.9386336,0.0002700104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02216215,0.00009700691,0.7552202,0.000513958,0.01147458,0.00002516882,2.775036e-9,0.0002742619,0.2102327],"genre_scores_gemma":[0.8978495,7.994913e-7,0.09374609,0.0009898808,0.003633379,0.000001108889,1.68261e-7,0.000003742031,0.003775352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8756874,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850117609794533,"score_gpt":0.2299808110577166,"score_spread":0.2114796349597713,"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."}}