{"id":"W4302926646","doi":"10.5281/zenodo.1184514","title":"Home Automation And Optimizations","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Automation; Operating system; Embedded system; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003698755,0.0006572881,0.000510069,0.000586229,0.0008147532,0.001693482,0.0006688728,0.0002789667,0.02452439],"category_scores_gemma":[0.00124461,0.0002441839,0.0004788018,0.0009375321,0.0005428399,0.001104901,0.0009222,0.00089866,0.002734305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162668,"about_ca_system_score_gemma":0.002028405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04313358,"about_ca_topic_score_gemma":0.09239752,"domain_scores_codex":[0.9994482,0.00007461742,0.00001616919,0.00008462442,0.0002322858,0.0001439679],"domain_scores_gemma":[0.9996946,0.00006237721,0.000018815,0.0001090202,0.00009917785,0.00001602296],"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":[0.0002727434,0.0001743561,0.002050866,0.0001534729,0.00005880712,0.0001054769,0.0001295773,0.1383071,0.007009485,0.245528,0.05614236,0.5500678],"study_design_scores_gemma":[0.00007822766,0.0001054428,0.004972588,0.0001232421,0.00009013184,0.000175126,0.0002655926,0.6721207,0.01200059,0.1445041,0.165517,0.00004717212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08339874,0.003729127,0.5024243,0.00265165,0.000530744,0.0002157777,0.001639455,0.005739386,0.3996708],"genre_scores_gemma":[0.6867662,0.002585576,0.1633788,0.0002692893,0.000190397,0.0001554547,0.001788244,0.0009213354,0.1439447],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04313358,"threshold_uncertainty_score":0.08576506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678016456884731,"score_gpt":0.2096571908571371,"score_spread":0.1928770262882898,"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."}}