{"id":"W2774559822","doi":"10.1109/iros.2017.8206154","title":"Detecting insertion tasks using convolutional neural networks during robot teaching-by-demonstration","year":2017,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Convolutional neural network; Robot; Artificial intelligence; Human–computer interaction; Embedded system","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":[0.0006423891,0.0009366267,0.0005305687,0.000701012,0.00025577,0.0003803227,0.0006704578,0.000718001,0.00066524],"category_scores_gemma":[0.002514207,0.0003413046,0.0003451059,0.00049202,0.0003121393,0.000526365,0.0005221323,0.0005660051,0.0003188383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007096055,"about_ca_system_score_gemma":0.0005368142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090965,"about_ca_topic_score_gemma":0.01347373,"domain_scores_codex":[0.9994465,0.0000772506,0.00003120114,0.0001676729,0.0001396331,0.0001378059],"domain_scores_gemma":[0.9987446,0.0005788252,0.0002164102,0.0001203138,0.0002718846,0.00006784059],"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":[0.001283805,0.0005891271,0.02900224,0.0002586101,0.0001971055,0.0007119295,0.0003481321,0.1601513,0.1358946,0.0004428395,0.002658199,0.6684622],"study_design_scores_gemma":[0.00001448145,0.000161646,0.02745412,0.00002128136,0.00004051872,0.0001537076,0.00008402938,0.9153948,0.0553792,0.0004597609,0.0008109336,0.00002540287],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8112003,0.0005801534,0.1828944,0.0001416513,0.00006794334,0.0000861899,0.0004978588,0.002671383,0.001860071],"genre_scores_gemma":[0.9667888,0.0001052915,0.03120418,0.00003279751,0.000009707989,0.00003852168,0.0005828989,0.00003105137,0.001206751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090965,"threshold_uncertainty_score":0.02169228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655739731988071,"score_gpt":0.255653168281085,"score_spread":0.2290957709612043,"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."}}