{"id":"W2799569726","doi":"10.1139/tcsme-2016-0014","title":"DESIGN AND DEVELOPMENT OF AN AUTONOMOUS OMNIDIRECTIONAL HAZARDOUS MATERIALS HANDLING ROBOT","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Robot; Omnidirectional antenna; Simulation; Computer science; Software; Mobile robot; Real-time computing; Engineering; Embedded system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004373276,0.00009752548,0.0001562233,0.00004288631,0.0001931433,0.00002204194,0.0003272502,0.00008540625,0.000004514696],"category_scores_gemma":[0.00002150795,0.00007309949,0.00008610054,0.0001051239,0.00002505115,0.0001454841,0.00001029256,0.00005421654,3.300888e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850731,"about_ca_system_score_gemma":0.0004467315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005857599,"about_ca_topic_score_gemma":0.0002743057,"domain_scores_codex":[0.999237,0.00001539478,0.0002347728,0.0001741843,0.0001199224,0.0002187345],"domain_scores_gemma":[0.9994101,0.0001293305,0.00005476962,0.0002057642,0.00005274064,0.000147303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009436545,0.00004301665,0.000001231702,0.000116454,0.000281162,8.73267e-7,0.001714111,0.4122558,0.520023,0.003209029,0.00001918961,0.06232674],"study_design_scores_gemma":[0.0003691372,0.00005644016,0.00007728104,0.00009677652,0.00002128024,0.00002099101,0.0000156495,0.4406058,0.5582287,0.0001925383,0.0001553018,0.000160022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004361534,0.00001918194,0.9947315,0.0002336022,0.0003898264,0.0001968278,0.00001866086,0.00004800363,8.683566e-7],"genre_scores_gemma":[0.3199351,0.000001321086,0.6799894,0.00001231582,0.00001186958,0.00002250442,4.654683e-7,0.000008737619,0.00001826582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3155736,"threshold_uncertainty_score":0.2980911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224660309522564,"score_gpt":0.2142781037688904,"score_spread":0.1920315006736648,"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."}}