{"id":"W4406107300","doi":"10.1177/10567895241297301","title":"Metallic contaminants in wood panel production process: Evaluating press plate damage and detecting potential using IR thermography and spectroscopy","year":2025,"lang":"en","type":"article","venue":"International Journal of Damage Mechanics","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Jonquière; Université du Québec en Abitibi-Témiscamingue","funders":"Mitacs","keywords":"Thermography; Materials science; Contamination; Fourier transform infrared spectroscopy; Surface roughness; Nondestructive testing; Composite material; Infrared; Spectroscopy; Surface finish; Alloy; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006445639,0.0001494033,0.0002053061,0.0004760962,0.00005133233,0.00009104634,0.0001941319,0.00007546355,0.000003707476],"category_scores_gemma":[0.00009075141,0.0001446341,0.00005501591,0.0001944972,0.00002309993,0.000324276,0.00004597331,0.0003348843,2.189389e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004704332,"about_ca_system_score_gemma":0.00002551337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001770735,"about_ca_topic_score_gemma":0.00001166441,"domain_scores_codex":[0.998983,0.00005800091,0.0004033407,0.0001459821,0.0002614337,0.0001482085],"domain_scores_gemma":[0.9994582,0.00004718422,0.0001851817,0.00007930571,0.0001945305,0.0000355759],"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":[0.0001295154,0.00004346273,0.0003387065,0.000114738,0.0002837529,0.00005716366,0.0007903354,0.003525547,0.9855953,0.0002632354,0.000003817189,0.008854366],"study_design_scores_gemma":[0.001763146,0.0002668961,0.00611085,0.001651532,0.0003105029,0.0003989129,0.001489089,0.3759532,0.5861546,0.02547121,0.00002243556,0.0004076557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542085,0.0007685688,0.04402732,0.00002592913,0.000709635,0.0001668163,0.00001775134,0.00004458521,0.00003092651],"genre_scores_gemma":[0.994799,0.0003592297,0.004700771,0.00001643492,0.0000966163,0.000004681986,0.000001254513,0.00001830341,0.00000372273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3994408,"threshold_uncertainty_score":0.5898009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205454557014778,"score_gpt":0.2928894228137806,"score_spread":0.2723439671123028,"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."}}