{"id":"W2797330406","doi":"10.7939/r38c9rb7h","title":"Application of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and gel permeation chromatography to polymer analysis","year":2000,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mass spectrometry; Chromatography; Chemistry; Gel permeation chromatography; Matrix (chemical analysis); Desorption; Polymer; Permeation; Ionization; Analytical Chemistry (journal); Sample preparation in mass spectrometry; Matrix-assisted laser desorption/ionization; Materials science; Electrospray ionization; Ion; Adsorption; Organic chemistry; Membrane","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001999842,0.001430942,0.0009493017,0.003622171,0.00159457,0.001581505,0.00153391,0.001084062,0.001586571],"category_scores_gemma":[0.002322507,0.0009722211,0.0007881912,0.001864647,0.00117274,0.001151943,0.001307738,0.002660468,0.001648284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620196,"about_ca_system_score_gemma":0.004264991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0167404,"about_ca_topic_score_gemma":0.03823018,"domain_scores_codex":[0.9981621,0.0002354243,0.0000787422,0.000357917,0.00104595,0.0001198654],"domain_scores_gemma":[0.9985247,0.0003751743,0.0001149874,0.0001247546,0.0006965259,0.0001638501],"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":[0.0001345628,0.0001429997,0.0009087882,0.0003715467,0.00008498535,0.0001749928,0.00009534305,0.0003245365,0.9438753,0.001353428,0.0007006559,0.05183288],"study_design_scores_gemma":[0.00004345027,0.0003817279,0.009109005,0.00008997681,0.0001372585,0.002650179,0.0001223352,0.009200385,0.9441621,0.002263995,0.03170731,0.0001323228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08079506,0.02309678,0.875384,0.001522296,0.000570811,0.00128498,0.001087308,0.002404173,0.01385464],"genre_scores_gemma":[0.2174589,0.0272414,0.7349314,0.001242669,0.0002090314,0.0009991819,0.001491921,0.0003374395,0.01608807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0167404,"threshold_uncertainty_score":0.03328592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001840699155935231,"score_gpt":0.160842596201397,"score_spread":0.1590018970454618,"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."}}