{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001174818,0.00005970613,0.0001200686,0.0001225585,0.000009173678,0.000003103775,0.00002981865,0.00003865506,0.00004453575],"category_scores_gemma":[0.00003536612,0.00006371857,0.0000279831,0.0002618542,0.00001171459,0.0001348824,0.000004160398,0.00005608777,0.00000479271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004279284,"about_ca_system_score_gemma":0.000006589738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001859519,"about_ca_topic_score_gemma":0.00005014207,"domain_scores_codex":[0.9994794,0.00002036288,0.0002607928,0.00005132595,0.0001066894,0.00008148701],"domain_scores_gemma":[0.9997758,0.000031101,0.00005497473,0.00007609346,0.00005164676,0.00001041708],"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":[0.00007524198,0.000124493,0.00506147,0.0008405779,0.00003126841,0.000002438655,0.0002979592,0.06601199,0.8145252,0.00005686611,0.0006724693,0.1123],"study_design_scores_gemma":[0.0007547188,0.00002752713,0.03694902,0.0001240776,0.00001011203,9.02106e-7,0.00004538302,0.07095243,0.8871331,0.003734496,0.0001593835,0.0001088265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984336,0.000133412,0.009277949,0.000004457431,0.0002096411,0.0001338461,0.000008966569,0.00009647933,0.005799235],"genre_scores_gemma":[0.9611607,0.0000062051,0.03866531,0.000005653243,0.00002346283,0.00001027785,0.00002424535,0.000009117115,0.00009505259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121912,"threshold_uncertainty_score":0.2598368,"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."}}