{"id":"W2910183891","doi":"10.1109/smc.2018.00473","title":"A Miniature Multi-sensor Shoe-Mounted Platform for Accurate Positioning","year":2018,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Inertial measurement unit; USB; Computer science; Bluetooth; Sensor fusion; Real-time computing; Computer hardware; Embedded system; Units of measurement; Computer vision; Software; Wireless; Telecommunications","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":[0.00004397209,0.0001223912,0.000109935,0.00009046601,0.0001200321,0.00004501196,0.0001145599,0.0001651016,0.0001044376],"category_scores_gemma":[0.0000603155,0.0001059581,0.00004727989,0.000165012,0.00004601264,0.0001433312,0.00001821871,0.00008042042,0.00007485583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000384333,"about_ca_system_score_gemma":0.000006611917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003975571,"about_ca_topic_score_gemma":0.00003818134,"domain_scores_codex":[0.99943,0.000001889834,0.0001508139,0.0001227745,0.0000596617,0.0002348632],"domain_scores_gemma":[0.9996638,0.00003372851,0.0000175224,0.000150475,0.0001063469,0.00002816756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006846655,0.000409484,0.003484617,0.001433284,0.001381114,0.00005045183,0.01184691,0.04521995,0.401371,0.169404,0.26895,0.09576446],"study_design_scores_gemma":[0.0009897314,0.00009817421,0.000496024,0.00003318194,0.00001934717,0.0000108071,0.0006833188,0.7017788,0.2731497,0.0004431022,0.02196263,0.0003352019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07187466,0.00007952219,0.9177077,0.0001380099,0.0006080741,0.0003947738,0.00004404986,0.002868032,0.00628519],"genre_scores_gemma":[0.9630706,0.000008624427,0.03582531,0.0001749807,0.0001318064,0.00003634384,0.00003740756,0.00003088324,0.0006840768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8911959,"threshold_uncertainty_score":0.4320845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171000905702074,"score_gpt":0.2765057844352319,"score_spread":0.2547957753782111,"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."}}