{"id":"W2321460258","doi":"10.1364/cleo_at.2012.atu3l.5","title":"Inline Coherent Imaging: Measuring and Controlling Depth in Industrial Laser Processes","year":2012,"lang":"en","type":"article","venue":"","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Laser; Optics; Lidar; Remote sensing; Materials science; Computer science; Environmental science; Geology; Physics","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":[0.0002605761,0.0001422303,0.0001753125,0.00008897084,0.00002469054,0.00007631686,0.0000766641,0.00006585599,0.00001641562],"category_scores_gemma":[0.0001005296,0.0001236682,0.000009899642,0.0001334,0.00002248159,0.0004398003,0.00003800787,0.0001362195,0.000004282486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004900383,"about_ca_system_score_gemma":0.00001872707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004323633,"about_ca_topic_score_gemma":0.00005660807,"domain_scores_codex":[0.9992669,0.00001516539,0.00021544,0.0001066556,0.0001020093,0.0002938716],"domain_scores_gemma":[0.9997476,0.0000363835,0.00002293828,0.00008433245,0.00003129994,0.00007741892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002378365,0.0003565146,0.8274157,0.002119702,0.0001036784,0.00002460238,0.00181931,0.002953686,0.09150417,0.0004571149,0.002921293,0.07008636],"study_design_scores_gemma":[0.003883768,0.00003708432,0.007059661,0.000663781,0.00004988283,0.00003103365,0.0001966971,0.02314027,0.9539595,0.0008781862,0.009071438,0.001028686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917362,0.0009702583,0.003212713,0.00008229535,0.0002684614,0.0002344669,0.00000261721,0.0009785154,0.002514421],"genre_scores_gemma":[0.9979569,0.00003423804,0.001630152,0.0000353159,0.0002541935,0.00003460181,0.000003227743,0.00003248167,0.00001883624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8624554,"threshold_uncertainty_score":0.5043043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715933027109435,"score_gpt":0.2354739152985426,"score_spread":0.1983145850274483,"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."}}