{"id":"W2526140589","doi":"10.1080/10408347.2016.1242062","title":"Application of Microextraction Techniques Including SPME and MESI to the Thermal Degradation of Polymers: A Review","year":2016,"lang":"en","type":"review","venue":"Critical Reviews in Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec; American Chemistry Council","keywords":"Solid-phase microextraction; Extraction (chemistry); Sample preparation; Polymer; Degradation (telecommunications); Chromatography; Sorbent; Chemistry; Process engineering; Materials science; Computer science; Gas chromatography–mass spectrometry; Organic chemistry; Mass spectrometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002200155,0.0006360114,0.003149871,0.00007486853,0.00005142959,0.00002067261,0.0007662777,0.0005802002,0.0008787904],"category_scores_gemma":[0.009179412,0.0004018259,0.0006491176,0.0006849903,0.0005146858,0.00007939451,0.000388522,0.0007994341,0.00002259745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003585275,"about_ca_system_score_gemma":0.0002199405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006647304,"about_ca_topic_score_gemma":4.611794e-7,"domain_scores_codex":[0.9951106,0.0002104256,0.002846646,0.0008562572,0.0005095789,0.0004665132],"domain_scores_gemma":[0.9956551,0.002094913,0.0007130227,0.001047537,0.0001944318,0.000294983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006892068,0.00008014787,0.000007759182,0.1809027,0.00005127066,0.000002704365,0.00000412147,8.042982e-9,0.004168085,0.0002860564,0.0001384502,0.8143518],"study_design_scores_gemma":[0.00006223588,0.00000763275,8.280909e-7,0.151903,0.001005531,0.00004130021,0.000007751848,0.0000227276,0.01463306,0.0001028637,0.8317794,0.0004336877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002058732,0.9828679,0.007045321,0.0006828344,0.00001390824,0.0006051336,0.00004564979,0.00002783882,0.008709375],"genre_scores_gemma":[0.00004876142,0.9938084,0.004809936,0.0001098731,0.0001646352,0.00040121,0.00005716844,0.00005440497,0.0005456271],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.831641,"threshold_uncertainty_score":0.9998434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09035865824096101,"score_gpt":0.4336721756013551,"score_spread":0.3433135173603941,"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."}}