{"id":"W3014905453","doi":"10.18280/ria.340110","title":"Human Activity Recognition Algorithm Based on One-Dimensional Convolutional Neural Network","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Grid Corporation of China","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Pattern recognition (psychology); Activity recognition; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003401781,0.0009022704,0.0007830238,0.001003869,0.0002413568,0.0004564967,0.001010968,0.0005263895,0.001688212],"category_scores_gemma":[0.0006764422,0.0002645941,0.0005887794,0.0006929064,0.0001968627,0.0005924361,0.0004350182,0.0006720937,0.000789278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006746729,"about_ca_system_score_gemma":0.0007995197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804576,"about_ca_topic_score_gemma":0.01578574,"domain_scores_codex":[0.9996912,0.00002206953,0.00002504087,0.0001255226,0.00008300718,0.00005313554],"domain_scores_gemma":[0.9998208,0.00002619914,0.00002307524,0.00002134294,0.00009316358,0.00001543067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002355341,0.0002298479,0.00707786,0.0001193392,0.0001572475,0.000151812,0.00005092816,0.08253381,0.01896185,0.001568022,0.00608918,0.8828246],"study_design_scores_gemma":[0.000016353,0.00007385824,0.004602191,0.00001544369,0.00003565721,0.0001429941,0.00001164496,0.9820499,0.01074264,0.0007177971,0.001571644,0.00001975608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09255601,0.001771216,0.8901845,0.000427097,0.0003591671,0.0003151541,0.000883141,0.005751775,0.007752007],"genre_scores_gemma":[0.7830531,0.001643085,0.1984929,0.0003745177,0.0001221499,0.0003446103,0.002701546,0.00009939903,0.01316866],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01804576,"threshold_uncertainty_score":0.03588146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091645073749417,"score_gpt":0.2888766182627033,"score_spread":0.1797121108877617,"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."}}