{"id":"W2060549529","doi":"10.1007/s00216-012-6469-6","title":"Application of PM-IRRAS to study thin films on industrial and environmental samples","year":2012,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; Acadia University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental chemistry; Analytical Chemistry (journal); Thin film; Engineering; Nanotechnology; Chemistry; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694258,0.0003539964,0.0002279935,0.0004022444,0.0003826275,0.0003280784,0.0004309289,0.0004159755,0.002075385],"category_scores_gemma":[0.0004670066,0.0002289051,0.0002993243,0.0002756776,0.0002031194,0.0002176685,0.0002394283,0.0005134458,0.0005113152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800017,"about_ca_system_score_gemma":0.0001367399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058036,"about_ca_topic_score_gemma":0.002002274,"domain_scores_codex":[0.9996649,0.00007483366,0.00001293079,0.00009329334,0.0001025575,0.00005143272],"domain_scores_gemma":[0.999774,0.00007363235,0.00002335489,0.00004042234,0.00007923176,0.00000931295],"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":[0.00005205293,0.00001683843,0.0005829871,0.00007449272,0.00001664045,0.00009183705,0.00006410508,0.00009793621,0.9956449,0.00009160524,0.00005433284,0.003212225],"study_design_scores_gemma":[0.000002665515,0.0001176537,0.001937183,0.000006717472,0.00001448325,0.0001479113,0.00008617582,0.0006884641,0.9947918,0.00002936162,0.002174841,0.00000280636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417097,0.002923902,0.04012703,0.0002483584,0.0001363843,0.0001450456,0.0004992035,0.0003777169,0.0138326],"genre_scores_gemma":[0.9614023,0.001609814,0.03081078,0.0001024603,0.00003153575,0.00007606079,0.0002416789,0.00006742238,0.005658004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002075385,"threshold_uncertainty_score":0.006942809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096675535283602,"score_gpt":0.2561079249347412,"score_spread":0.2351411695819052,"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."}}