{"id":"W7127603123","doi":"10.18280/i2m.240601","title":"Study on the Camera Calibration Method in Three-Dimensional (3-D) Space for Machine Vision Systems","year":2025,"lang":"","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Thai Nguyen University of Technology","keywords":"Calibration; Machine vision; Space (punctuation); Camera resectioning; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001652137,0.0005180234,0.0004117109,0.000892995,0.0004282883,0.0009421886,0.0008075805,0.000741983,0.001414303],"category_scores_gemma":[0.005648097,0.0003747361,0.0005024998,0.001267654,0.000533554,0.00168229,0.0005842881,0.0006714976,0.0004781304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005967797,"about_ca_system_score_gemma":0.0008812383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140338,"about_ca_topic_score_gemma":0.001116566,"domain_scores_codex":[0.9972373,0.0006130698,0.00008435552,0.000426378,0.00156927,0.00006963524],"domain_scores_gemma":[0.9969669,0.0008746524,0.0002510125,0.0003412624,0.001520729,0.00004542863],"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":[0.0002282987,0.00009293789,0.006241036,0.001156692,0.0001987169,0.0003424528,0.0008191246,0.09965418,0.157034,0.02967971,0.002080142,0.7024727],"study_design_scores_gemma":[0.00003071685,0.0004522055,0.007501264,0.0001464941,0.0001116019,0.001415163,0.0003312894,0.7886639,0.1691888,0.004234978,0.02777342,0.0001501917],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01719945,0.002151276,0.9783171,0.00009104448,0.00007006547,0.00004999738,0.0000123361,0.00026813,0.001840561],"genre_scores_gemma":[0.5037498,0.005048973,0.4873026,0.000127431,0.00009230291,0.0001199948,0.0001114077,0.0001707019,0.003276715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002140338,"threshold_uncertainty_score":0.008737445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07623068118544817,"score_gpt":0.3786210875989112,"score_spread":0.302390406413463,"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."}}