{"id":"W1984829579","doi":"10.3390/educsci5010026","title":"Using Inertial Sensors in Smartphones for Curriculum Experiments of Inertial Navigation Technology","year":2015,"lang":"en","type":"article","venue":"Education Sciences","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Inertial navigation system; Inertial measurement unit; Computer science; Curriculum; Syllabus; Inertial frame of reference; Simulation; Human–computer interaction; Artificial intelligence; Psychology","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":[0.0001833778,0.00007636522,0.0001067543,0.0002903254,0.00004506667,0.00001655459,0.0001075331,0.00006584291,0.000003287598],"category_scores_gemma":[0.0000869309,0.00007165875,0.00002000871,0.0008187615,0.0001034487,0.0002424792,0.000009926595,0.00004411168,0.000002247044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008114915,"about_ca_system_score_gemma":0.0001228581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002333423,"about_ca_topic_score_gemma":0.000006373789,"domain_scores_codex":[0.9993038,0.00001695548,0.0002456569,0.0001321465,0.0001583353,0.0001430896],"domain_scores_gemma":[0.999685,0.00001362165,0.00005698137,0.00007283162,0.0001352556,0.00003633439],"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":[0.00002234002,0.0003403316,0.04553869,0.00009115339,0.00001042392,3.327843e-7,0.005801797,0.1756902,0.7572783,0.003065361,0.0006712222,0.0114898],"study_design_scores_gemma":[0.0006436718,0.0001144899,0.001332346,0.0001435222,0.0000106267,0.000009646743,0.00911405,0.2848435,0.70186,0.001019032,0.0006285184,0.0002806011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964073,0.0002187192,0.001033015,0.00006083768,0.001500173,0.0001993525,0.00000172737,0.00004877776,0.000530127],"genre_scores_gemma":[0.9902763,0.000002523128,0.009500707,0.000005948719,0.0001519065,0.00003192477,0.00001106459,0.000006739401,0.00001291658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1091532,"threshold_uncertainty_score":0.2922159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0687307919657608,"score_gpt":0.3681586845329995,"score_spread":0.2994278925672387,"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."}}