{"id":"W2355601080","doi":"","title":"The Hardware Design of Automatic Collimation System Based on Image Processing","year":2006,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Computer vision; Computer science; Image processing; Missile; Artificial intelligence; Collimated light; Image quality; Image (mathematics); Software; Depth of field; Aperture (computer memory); Computer graphics (images); Field (mathematics); Optics; Mathematics; Laser; Physics; Engineering; Acoustics","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":[0.0003804447,0.0006054586,0.0005113966,0.000840673,0.0005735343,0.0009411523,0.001948167,0.00063217,0.008015713],"category_scores_gemma":[0.00063392,0.0005262759,0.0003123745,0.0005998999,0.0002248081,0.0007925988,0.0004348004,0.0004720517,0.002703062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005309843,"about_ca_system_score_gemma":0.00100555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282367,"about_ca_topic_score_gemma":0.0009853115,"domain_scores_codex":[0.999418,0.00004912665,0.00004341871,0.0001306095,0.0002923805,0.00006656389],"domain_scores_gemma":[0.9995002,0.00007023406,0.00004919793,0.00005794413,0.0002874106,0.00003507127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000680636,0.0001453209,0.004656431,0.0007558239,0.0001105496,0.0006454918,0.0005247585,0.006125243,0.4734722,0.0128058,0.02259177,0.477486],"study_design_scores_gemma":[0.0003603072,0.001638341,0.01087625,0.0001559339,0.0003121067,0.004678349,0.000173306,0.213551,0.6046572,0.003084066,0.1602415,0.0002715347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02763252,0.0008466184,0.9493771,0.0004493202,0.0003065813,0.0004807312,0.0002520626,0.01070326,0.009951795],"genre_scores_gemma":[0.3089747,0.0005966782,0.6734798,0.0005819025,0.0002591709,0.0006282165,0.0008390831,0.0003433471,0.01429719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008015713,"threshold_uncertainty_score":0.02681524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008056626976411841,"score_gpt":0.2153747284754406,"score_spread":0.2073181014990287,"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."}}