{"id":"W3200042178","doi":"10.33552/gjes.2020.04.000596","title":"SRIN: A New Dataset for Social Robot Indoor Navigation","year":2020,"lang":"en","type":"article","venue":"Global Journal of Engineering Sciences","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Western Canada Research Grid; Compute Canada","keywords":"The Internet; Computer science; Robot; Internet of Things; Computer security; Transport engineering; World Wide Web; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003049136,0.00008259657,0.0001251575,0.00003726446,0.0001276016,0.0001867069,0.001103015,0.00002738694,0.000002219937],"category_scores_gemma":[0.0002062612,0.00007277137,0.00005955512,0.0006255956,0.00003067714,0.0005081503,0.00008893648,0.0001145274,0.000006548113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003739845,"about_ca_system_score_gemma":0.0001617917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002601286,"about_ca_topic_score_gemma":4.149151e-7,"domain_scores_codex":[0.999098,0.00001290878,0.000240916,0.0001640336,0.00030862,0.0001755033],"domain_scores_gemma":[0.9994608,0.00005780559,0.0001803535,0.00007699962,0.00006703854,0.0001570119],"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":[0.00003085038,0.00007484025,0.004060027,0.00008379996,0.00007312682,0.00001793504,0.001316155,0.7517599,0.0128395,0.1262196,0.03690308,0.06662121],"study_design_scores_gemma":[0.0007252172,0.0003898165,0.01381801,0.00004254666,0.00001834653,0.0001239921,0.00003042508,0.9546597,0.0006330919,0.001963147,0.02734504,0.0002506866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02283043,0.00007016762,0.9629378,0.01373882,0.0002068379,0.0000849424,0.00006514021,0.00003898269,0.00002682183],"genre_scores_gemma":[0.7288591,9.955719e-7,0.2704584,0.000312888,0.0003544101,0.000001821021,0.000009212604,0.000002412788,7.517746e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7060287,"threshold_uncertainty_score":0.296753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587372869651002,"score_gpt":0.319697552224355,"score_spread":0.283823823527845,"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."}}