{"id":"W1968851737","doi":"10.1117/12.498560","title":"<title>Development of a compact high-resolution 3D laser range imaging system</title>","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Computer science; Lidar; Rendezvous; Point cloud; Remote sensing; Laser scanning; Scanner; Computer vision; High resolution; Artificial intelligence; Stereo imaging; Image resolution; Laser; Aerospace engineering; Optics; Spacecraft; Geology; Engineering","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":[0.0005029795,0.0002800352,0.0003538187,0.0004813335,0.0003649557,0.0007890873,0.0006604317,0.0007243659,0.01511112],"category_scores_gemma":[0.0004112747,0.0002351206,0.0002431032,0.0002721203,0.0002920487,0.0008755648,0.0004545544,0.0006686043,0.008394274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004174208,"about_ca_system_score_gemma":0.0007378496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009275043,"about_ca_topic_score_gemma":0.001621863,"domain_scores_codex":[0.9997249,0.00001868696,0.00001322379,0.00005078461,0.0001697925,0.00002247868],"domain_scores_gemma":[0.9995615,0.00004056457,0.0000361256,0.00006141556,0.000234521,0.00006594623],"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":[0.0001507446,0.000137676,0.001026341,0.0002091367,0.00001719153,0.0005185916,0.0001441209,0.002213739,0.5107146,0.007500416,0.03994535,0.4374221],"study_design_scores_gemma":[0.0001223029,0.001118233,0.005815954,0.00005086135,0.00003451766,0.003059145,0.00007532621,0.05311231,0.4745613,0.001494994,0.4604258,0.000129372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05188962,0.001890785,0.8477897,0.001974788,0.001640812,0.0006849184,0.001209457,0.01574716,0.07717276],"genre_scores_gemma":[0.1944035,0.001226451,0.6292721,0.0009905207,0.0004114476,0.0005113989,0.003030099,0.001102626,0.1690519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01511112,"threshold_uncertainty_score":0.05055171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00875177703869063,"score_gpt":0.2176375122297333,"score_spread":0.2088857351910426,"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."}}