{"id":"W1852722224","doi":"10.1109/ccece.2000.849779","title":"System to aid navigation: sideways movement detection","year":2002,"lang":"en","type":"article","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Microcontroller; ALARM; Computer science; Detector; Computer vision; SIGNAL (programming language); Track (disk drive); Brightness; Movement (music); Navigation system; Line (geometry); Real-time computing; Artificial intelligence; Simulation; Computer hardware; Engineering; Electrical engineering; Telecommunications; Acoustics","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":[0.0002581779,0.0006520517,0.0006594958,0.0007056275,0.0003631912,0.000728688,0.0009649594,0.001078046,0.01434368],"category_scores_gemma":[0.001097015,0.0002198389,0.0001977097,0.0003056247,0.0001698042,0.0005226132,0.0005843914,0.0004387843,0.008909375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711523,"about_ca_system_score_gemma":0.0006303383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893857,"about_ca_topic_score_gemma":0.001999877,"domain_scores_codex":[0.9996899,0.00003941138,0.00001357873,0.00008446603,0.0001344855,0.00003816922],"domain_scores_gemma":[0.9994258,0.00008231532,0.00003378223,0.00005646604,0.0003596357,0.00004190605],"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":[0.001141679,0.0002757702,0.00724956,0.0008062352,0.0001188118,0.000617186,0.0003907731,0.003534129,0.210045,0.004961823,0.07053559,0.7003235],"study_design_scores_gemma":[0.0005184379,0.002391024,0.03094743,0.0003960018,0.0004516845,0.005249477,0.0002207623,0.2005003,0.3885009,0.003469113,0.3670343,0.0003206202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08291923,0.001672567,0.8022118,0.0007178782,0.001940132,0.0008373954,0.002596415,0.05463441,0.05247013],"genre_scores_gemma":[0.6658391,0.0009230291,0.2468769,0.001368768,0.0003725255,0.0005918574,0.003048279,0.0005562547,0.08042338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01434368,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745034212853381,"score_gpt":0.2154103438963243,"score_spread":0.1879600017677905,"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."}}