{"id":"W2201441489","doi":"10.1007/978-1-4471-6741-9_2","title":"Infrared Vision: Visual Inspection Beyond the Visible Spectrum","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in computer vision and pattern recognition","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Université Laval","funders":"","keywords":"Infrared; Nondestructive testing; Thermography; Optics; Materials science; Electromagnetic spectrum; Holography; Optoelectronics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002252195,0.0003930102,0.0003382608,0.0003256775,0.00009610703,0.0001011961,0.0001524045,0.0003041927,0.0001740892],"category_scores_gemma":[0.00000223876,0.0003174807,0.00009710851,0.00009318662,0.0001018042,0.0003994728,0.00008077436,0.0005818725,0.00002625039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006229342,"about_ca_system_score_gemma":0.00001054944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005518525,"about_ca_topic_score_gemma":0.0000648543,"domain_scores_codex":[0.9987054,0.00003589875,0.0004062922,0.0003762621,0.0002597373,0.0002163382],"domain_scores_gemma":[0.9993894,0.0001260054,0.0001128033,0.0002351634,0.00005565789,0.00008103765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003284349,0.00002110294,0.00001851374,0.0001300843,0.00002445766,0.00002412858,0.0001470853,0.0002955391,0.00001710893,0.0001339174,0.003154445,0.9960008],"study_design_scores_gemma":[0.001478215,0.001834908,0.0006397216,0.002857944,0.0001107643,0.0002090865,0.0000346015,0.1107267,0.0004347195,0.5497408,0.3301872,0.001745306],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003815901,0.02766957,0.6493367,0.0002201953,0.007004741,0.002139953,0.0008945233,0.002890877,0.3060276],"genre_scores_gemma":[0.876231,0.09315305,0.006439038,0.002539513,0.006768286,0.0002783737,0.002728062,0.0008292075,0.01103352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9942555,"threshold_uncertainty_score":0.9999277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336500999962632,"score_gpt":0.2582011590792087,"score_spread":0.2448361490795823,"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."}}