{"id":"W2394180536","doi":"","title":"Recognition of Automatic Collimation of Norm Pole in Natural Scene","year":2006,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Pixel; Norm (philosophy); Artificial intelligence; Computer vision; Computer science; Mathematics; Collimated light; Physics; Optics; Law","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":[0.000225047,0.0002639715,0.0002458087,0.0007044718,0.0002385371,0.0003740703,0.0002273319,0.0002722709,0.001150292],"category_scores_gemma":[0.000600391,0.000180812,0.0001747355,0.0002903017,0.0002893326,0.0003785462,0.0002175131,0.000165411,0.0004565598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002559647,"about_ca_system_score_gemma":0.0003258512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038098,"about_ca_topic_score_gemma":0.002150174,"domain_scores_codex":[0.9997813,0.00003555208,0.000007714839,0.0000661826,0.00007917939,0.0000301093],"domain_scores_gemma":[0.9997165,0.00003800753,0.00003009372,0.00003103552,0.000164908,0.00001942435],"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":[0.0003440277,0.00004041351,0.01589448,0.0001467473,0.00002411068,0.0005395954,0.0004930496,0.004916691,0.7379355,0.004922768,0.00313651,0.2316061],"study_design_scores_gemma":[0.00006545224,0.0005070916,0.1340424,0.00004787953,0.00006849864,0.002616134,0.0007496315,0.2808678,0.5445202,0.003960628,0.03245808,0.00009615444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5578308,0.0003035574,0.4306149,0.0001172917,0.00007927223,0.000101519,0.0002273603,0.002210117,0.008515172],"genre_scores_gemma":[0.8786292,0.000190478,0.1176493,0.00005034131,0.00002341238,0.00004964704,0.0004402645,0.0001231594,0.002844159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150292,"threshold_uncertainty_score":0.003848076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378124182984671,"score_gpt":0.2349137632224444,"score_spread":0.2211325213925976,"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."}}