{"id":"W2125614703","doi":"10.5539/mas.v4n12p177","title":"Research of the CCD Aerial Camera Manipulator System","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Smart camera; Manipulator (device); Artificial intelligence; Computer vision; Reliability (semiconductor); Video camera; Camera resectioning; Professional video camera; Object (grammar); Computer hardware; Simulation; Robot; Closed circuit; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001697308,0.00006718734,0.00008819708,0.00009628964,0.0002583369,0.00003178566,0.0004651898,0.00004233273,0.000009351538],"category_scores_gemma":[0.000039878,0.00004912075,0.00002297232,0.0006341374,0.0003765153,0.00007327778,0.0000762287,0.0003298891,0.00001365816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006325388,"about_ca_system_score_gemma":0.00005282827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005534805,"about_ca_topic_score_gemma":0.00001173175,"domain_scores_codex":[0.9987028,0.00001682213,0.0001343561,0.0001749363,0.000701335,0.0002696966],"domain_scores_gemma":[0.9993752,0.00003186298,0.00002213084,0.0004123813,0.00009481664,0.00006365559],"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":[0.000004341134,0.000003132491,0.00002386358,0.0000186152,0.000001005002,8.473677e-8,0.0001168359,0.003902465,0.9867499,0.005356187,0.00001388698,0.00380968],"study_design_scores_gemma":[0.0001387086,0.000005184141,0.0007069758,0.00000806329,0.000002054609,0.000002347495,0.0001187488,0.1601999,0.8368121,0.001332382,0.0005955138,0.00007802607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6641296,0.00001803071,0.2961505,0.00001020411,0.001831893,0.0003080517,0.000001429614,0.0001686654,0.03738163],"genre_scores_gemma":[0.9919196,5.306764e-7,0.007874933,0.00000383244,0.0001150623,0.00002392495,5.108894e-8,0.00001073081,0.00005133251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3277901,"threshold_uncertainty_score":0.2003086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06052734156076751,"score_gpt":0.3261085891764801,"score_spread":0.2655812476157126,"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."}}