{"id":"W2002878039","doi":"10.1145/2702613.2702631","title":"Smart for Life","year":2015,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Computer science; Home automation; Work (physics); Emerging technologies; Knowledge management; Data science; Human–computer interaction; Engineering; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009107757,0.0006863435,0.0003624337,0.0006323545,0.002809747,0.006018864,0.0008466883,0.002547784,0.1477302],"category_scores_gemma":[0.002817941,0.0002326919,0.0004955938,0.0005826848,0.002192011,0.007056441,0.006568495,0.003018163,0.09778647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047493,"about_ca_system_score_gemma":0.001525483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121441,"about_ca_topic_score_gemma":0.002832938,"domain_scores_codex":[0.9991887,0.0001887557,0.00004815889,0.0001647418,0.0002855439,0.0001240879],"domain_scores_gemma":[0.9990228,0.000105483,0.00005012452,0.000246567,0.0002080582,0.0003669405],"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":[0.00003738906,0.00003470268,0.0006171693,0.0002364157,0.00001228029,0.0001204204,0.002744861,0.00007480011,0.0008855524,0.1756321,0.6525453,0.167059],"study_design_scores_gemma":[0.000001471529,0.000005545343,0.0001215002,0.00003913272,0.000001399669,0.00005925483,0.0002661474,0.00001549809,0.0000536875,0.00651595,0.9929169,0.000003420534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002864784,0.006285666,0.009366687,0.05976025,0.006805032,0.0001162346,0.001109001,0.001746007,0.9119464],"genre_scores_gemma":[0.05750102,0.008562655,0.01480431,0.03187917,0.001905943,0.0002551589,0.001877401,0.000910532,0.8823038],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1477302,"threshold_uncertainty_score":0.4942067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09447914864243451,"score_gpt":0.3199681329086613,"score_spread":0.2254889842662268,"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."}}