{"id":"W2913466723","doi":"10.3390/app9030470","title":"An Indoor Room Classification System for Social Robots via Integration of CNN and ECOC","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Classifier (UML); Robot; Humanoid robot; Pattern recognition (psychology); Machine learning","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":[0.00162604,0.0000741855,0.0001491805,0.00009732791,0.0001976115,0.0001464385,0.0004776992,0.0000523198,9.560091e-7],"category_scores_gemma":[0.00001185798,0.0000597394,0.00002393391,0.0003867982,0.00008577901,0.00041563,0.00003528185,0.00004043815,0.00000549296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001773583,"about_ca_system_score_gemma":0.00005157038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001337815,"about_ca_topic_score_gemma":0.00001690273,"domain_scores_codex":[0.9990358,0.00005634635,0.0001859742,0.0003476145,0.0002254032,0.0001489154],"domain_scores_gemma":[0.9994197,0.0001395886,0.0001612895,0.0001794362,0.00006880197,0.00003112461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001166436,0.00003153543,0.004856617,0.00006823184,0.000005439806,6.111759e-8,0.001275252,0.0001402265,0.2674311,0.5267131,0.0000208589,0.1994459],"study_design_scores_gemma":[0.001088064,0.0006034474,0.2666769,0.00006119708,0.00001496494,0.000007139766,0.002634825,0.537235,0.1666055,0.02431096,0.0002327645,0.0005291603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.331071,0.00001410608,0.6666437,0.0001447051,0.0002097141,0.0002768747,0.000001206878,0.00005180922,0.001586859],"genre_scores_gemma":[0.915212,0.000001494721,0.08466947,0.00003216788,0.00004524544,0.00002808509,0.000002040484,0.000002712448,0.000006774694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.584141,"threshold_uncertainty_score":0.2436102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05374945286205018,"score_gpt":0.325780461708405,"score_spread":0.2720310088463548,"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."}}