{"id":"W3191164419","doi":"","title":"Development of a home security Robot using Deep Learning and IoT","year":2021,"lang":"en","type":"article","venue":"International journal of advance research, ideas and innovations in technology","topic":"Innovation in Digital Healthcare Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Internet of Things; Computer science; Deep learning; Artificial intelligence; Computer security; Robot; Human–computer interaction","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":[0.0002164906,0.0004691936,0.0004582111,0.0002797033,0.0002983638,0.0003485707,0.0009256803,0.0007054086,0.004780814],"category_scores_gemma":[0.0002770099,0.000293036,0.0003938194,0.0001258758,0.0002084217,0.0006854476,0.0006531246,0.0005173644,0.00135814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891337,"about_ca_system_score_gemma":0.0006830225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433089,"about_ca_topic_score_gemma":0.001732955,"domain_scores_codex":[0.9998355,0.00001293206,0.000009634721,0.00003456746,0.00008015359,0.00002727853],"domain_scores_gemma":[0.9998662,0.00001928593,0.00001333571,0.00002103759,0.00005644381,0.00002352865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004064024,0.0005983663,0.008016856,0.0007560995,0.0001728909,0.001819479,0.0003646228,0.07973912,0.3094439,0.007023869,0.01437747,0.5772809],"study_design_scores_gemma":[0.0001450291,0.00160024,0.009424679,0.0001313816,0.0001852983,0.00178706,0.0002404405,0.7508967,0.1706393,0.003069663,0.06175404,0.0001261585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1201845,0.0003628099,0.8463014,0.0006170828,0.0003923189,0.0004922966,0.0002360369,0.009559685,0.02185379],"genre_scores_gemma":[0.6624905,0.0002244678,0.3090118,0.0003494682,0.0000286696,0.0002629335,0.0003333094,0.000208889,0.02709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004780814,"threshold_uncertainty_score":0.01599336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09332766653314047,"score_gpt":0.52521744977075,"score_spread":0.4318897832376096,"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."}}