{"id":"W2981493332","doi":"10.1016/j.autcon.2019.102959","title":"Self-reconfigurable façade-cleaning robot equipped with deep-learning-based crack detection based on convolutional neural networks","year":2019,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Singapore University of Technology and Design","keywords":"Convolutional neural network; Process (computing); Robot; Artificial intelligence; Deep learning; Computer science; Modular design; Set (abstract data type); Machine vision; Artificial neural network; Simulation; Computer vision","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":[0.0001773081,0.0002301071,0.0001995745,0.0003006508,0.0001327566,0.00007753682,0.0000766763,0.000175615,0.0001346105],"category_scores_gemma":[0.00002391741,0.0002338961,0.00005044775,0.0003875007,0.00003698437,0.0003498878,0.000004749727,0.0004842468,0.00003569918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903139,"about_ca_system_score_gemma":0.00003389163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001624602,"about_ca_topic_score_gemma":0.00002700899,"domain_scores_codex":[0.998742,0.00007129009,0.0003234841,0.0002699694,0.0002428274,0.0003504124],"domain_scores_gemma":[0.9994398,0.0001155309,0.0001275023,0.0001689996,0.00009674239,0.00005142866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005723328,0.000008215062,0.01512373,0.00006064992,0.00001510029,0.00000191306,0.00004310158,0.9643575,0.00142052,0.0000954226,0.000004347028,0.01881229],"study_design_scores_gemma":[0.001234204,0.0001441074,0.02863909,0.0001155458,0.0000148063,0.00002278943,0.0001310386,0.9651277,0.004133568,0.00003047808,0.0001455347,0.0002611379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6357944,0.00002081258,0.3577769,0.0000350343,0.002314453,0.0004397258,0.000001257535,0.001165173,0.002452237],"genre_scores_gemma":[0.9948394,0.000002519435,0.00479805,0.00004535274,0.0001761179,0.0000460196,0.00003650556,0.00004276456,0.00001329964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.359045,"threshold_uncertainty_score":0.9538006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002847041657907969,"score_gpt":0.1770887899265385,"score_spread":0.1742417482686305,"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."}}