{"id":"W2947165938","doi":"10.1109/wits.2019.8723696","title":"Design and development of a sensor for distance and velocity measurement using an Infrared camera for studying kinematic movements","year":2019,"lang":"en","type":"article","venue":"","topic":"Experimental and Theoretical Physics Studies","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Kinematics; Infrared; Computer vision; Computer science; Artificial intelligence; Distance measurement; Physics; Optics; Classical mechanics","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":[0.0009356386,0.0006350844,0.0007100847,0.0008961534,0.0003295524,0.0007361647,0.001698669,0.001025313,0.001809543],"category_scores_gemma":[0.000662591,0.0004735804,0.0005083358,0.0005617127,0.0003462171,0.0009305209,0.0003942096,0.0006080838,0.001109144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000330449,"about_ca_system_score_gemma":0.001197289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008255144,"about_ca_topic_score_gemma":0.0007671626,"domain_scores_codex":[0.9992359,0.0000644695,0.00003852507,0.0001901484,0.0004176366,0.00005336423],"domain_scores_gemma":[0.9993029,0.0001105866,0.00006548252,0.00007597264,0.0003666179,0.00007843123],"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":[0.0001416903,0.0002107282,0.004928738,0.0005100123,0.00006215974,0.0002331614,0.0002204332,0.0040854,0.8218715,0.005585056,0.001173034,0.1609782],"study_design_scores_gemma":[0.00008627118,0.00227013,0.01088449,0.00008640878,0.0001785326,0.001408735,0.0001521861,0.07923727,0.8468329,0.001011776,0.0577195,0.0001317452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02847985,0.0003929598,0.9660624,0.00009078777,0.0001154729,0.0004733339,0.0001189102,0.001418832,0.002847361],"genre_scores_gemma":[0.1053865,0.0003973057,0.8881405,0.00007814629,0.00003762797,0.0005083265,0.0002060458,0.0001080048,0.005137511],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001809543,"threshold_uncertainty_score":0.006053507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06603236708541238,"score_gpt":0.2859098049125015,"score_spread":0.2198774378270891,"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."}}