{"id":"W1512560030","doi":"10.1002/9783527335961.ch8","title":"MALDI‐MS for Polymer Characterization","year":2013,"lang":"en","type":"other","venue":"","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Characterization (materials science); Polymer; Computer science; Materials science; Chemistry; Nanotechnology; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00156497,0.002681151,0.0008342318,0.003029086,0.0007357548,0.001080142,0.00151069,0.0009830587,0.06924516],"category_scores_gemma":[0.001000458,0.0006281218,0.0004447533,0.001793527,0.0005539403,0.001994517,0.001771328,0.001882788,0.04330424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007985126,"about_ca_system_score_gemma":0.001076383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001174897,"about_ca_topic_score_gemma":0.002378332,"domain_scores_codex":[0.9992655,0.00005893175,0.00003041356,0.0001469291,0.0004235381,0.0000746902],"domain_scores_gemma":[0.9996662,0.00005857597,0.00004082026,0.00006364944,0.000128562,0.0000421676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000301732,0.0002417764,0.0004149268,0.001250224,0.00006722358,0.0002313988,0.00007067508,0.001121705,0.3969961,0.0185041,0.1495298,0.4312703],"study_design_scores_gemma":[0.00003319723,0.0001017128,0.000961565,0.00009783635,0.00002933834,0.0006076492,0.00002760586,0.0067583,0.4812456,0.003698642,0.5063704,0.00006822006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02373361,0.01934278,0.4902813,0.001910152,0.001149474,0.0007253766,0.01276075,0.02499611,0.4251004],"genre_scores_gemma":[0.1071106,0.02614458,0.2747488,0.00125052,0.0004864908,0.0009961763,0.02090945,0.007972683,0.5603806],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06924516,"threshold_uncertainty_score":0.2316481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009033249572617584,"score_gpt":0.2437965298100199,"score_spread":0.2347632802374023,"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."}}