{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006803922,0.001545409,0.001295914,0.003350005,0.0003307926,0.0007856539,0.0009933236,0.001003003,0.002711166],"category_scores_gemma":[0.0006240309,0.0005001001,0.0007086996,0.002783567,0.0003836222,0.001472534,0.0005373273,0.0009522244,0.002173738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000433543,"about_ca_system_score_gemma":0.000851207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007924386,"about_ca_topic_score_gemma":0.001406494,"domain_scores_codex":[0.9996947,0.00003396388,0.00003631488,0.00008625116,0.0001221047,0.00002658853],"domain_scores_gemma":[0.9995827,0.0001831602,0.00007550996,0.00001616409,0.000117952,0.00002439925],"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":[0.00005638467,0.0001150783,0.0003481294,0.03404149,0.0001394778,0.0003493161,0.00008580164,0.0006805822,0.02014253,0.001786143,0.007763203,0.9344919],"study_design_scores_gemma":[0.00001323348,0.0003375043,0.001982784,0.002801988,0.0003035358,0.00263084,0.0001075849,0.0004310744,0.02300966,0.00155139,0.9667602,0.00007014792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004958856,0.9970175,0.001007954,0.0001086303,0.0001382438,0.00001196005,0.00002924337,0.00001792408,0.001172623],"genre_scores_gemma":[0.002372856,0.9947806,0.001442158,0.0001148025,0.0001423639,0.00001649086,0.00005618028,0.00000472499,0.001069752],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003350005,"threshold_uncertainty_score":0.0090698,"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."}}