{"id":"W2372526804","doi":"","title":"Dynamicly Measuring Weenie Displacement by Moire Fringe Based on LabVIEW and USB Camera","year":2007,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Moiré pattern; USB; Displacement (psychology); Computer science; Computer graphics (images); Object (grammar); Computer vision; Computer hardware; Engineering; Artificial intelligence; Software","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":[0.0006002574,0.0006454309,0.0004961807,0.0007763377,0.0003426624,0.0007050507,0.000831256,0.0005609131,0.002395678],"category_scores_gemma":[0.001098535,0.0004728619,0.0002238554,0.0005645195,0.000490089,0.001621717,0.0007650917,0.0006816179,0.0004960272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709027,"about_ca_system_score_gemma":0.0004834531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135944,"about_ca_topic_score_gemma":0.001473977,"domain_scores_codex":[0.9988229,0.0001317202,0.00003966636,0.0002154287,0.0007123123,0.00007800724],"domain_scores_gemma":[0.9992855,0.0001581018,0.0001177557,0.0001095557,0.0002692998,0.00005966709],"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":[0.0001406475,0.00007413435,0.001700885,0.000254281,0.00003196644,0.0001221988,0.0002247646,0.001743382,0.8653822,0.004746902,0.001117269,0.1244614],"study_design_scores_gemma":[0.00005530418,0.0005351391,0.007758717,0.00004473913,0.0000646897,0.001694605,0.0001800527,0.06273177,0.9015208,0.001168712,0.02409449,0.0001509417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07124715,0.000753988,0.9210464,0.0001771453,0.0001034158,0.0001048648,0.0001006225,0.001476138,0.004990275],"genre_scores_gemma":[0.3791723,0.00100017,0.6149889,0.0001176878,0.00007067293,0.0002078098,0.0002018626,0.0001497302,0.004090878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002395678,"threshold_uncertainty_score":0.008014381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00848772340779657,"score_gpt":0.2285995186388408,"score_spread":0.2201117952310443,"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."}}