{"id":"W1990960805","doi":"10.1021/ie800997x","title":"Potential of Hyperspectral Imaging for Quality Control of Polymer Blend Films","year":2009,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Hyperspectral imaging; Low-density polyethylene; Materials science; Polystyrene; Extrusion; Polymer; Chemical imaging; Spectral imaging; Composite material; Polyethylene; Polymer blend; Optics; Remote sensing","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":[0.000718432,0.0002100554,0.0005292475,0.0001462746,0.00006551631,0.00002970051,0.0004704518,0.0002806131,0.0008441415],"category_scores_gemma":[0.001219274,0.0002224245,0.0002652045,0.0006080383,0.0001331674,0.00007287611,0.00003945916,0.0006983413,0.000001025974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095702,"about_ca_system_score_gemma":0.0001875339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008188566,"about_ca_topic_score_gemma":8.000686e-8,"domain_scores_codex":[0.9977522,0.00001728832,0.0005873858,0.0003585269,0.000643137,0.0006414844],"domain_scores_gemma":[0.998483,0.0004699983,0.0001538448,0.0004274077,0.0003065859,0.0001591377],"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":[0.0002765587,0.0001480033,0.0003897797,0.0001865318,0.0001292333,0.000004403422,0.00002273539,0.0004795581,0.9975097,0.00007999737,0.0003835598,0.0003899956],"study_design_scores_gemma":[0.002280876,0.00003984657,0.00006045689,0.00005567968,0.00008436616,0.000007097988,0.0002733982,0.002112181,0.9947461,0.00003751795,0.0001110698,0.0001913843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994337,0.001359322,0.0004887551,0.0003615628,0.00007166852,0.0001542935,0.0002537132,0.00007694923,0.002896753],"genre_scores_gemma":[0.998369,0.0000130901,0.0001142208,0.000005046763,0.0005922535,0.00001607814,0.00003201271,0.00002422403,0.0008340093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004032082,"threshold_uncertainty_score":0.9242757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06019674291228481,"score_gpt":0.368030534841555,"score_spread":0.3078337919292702,"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."}}