{"id":"W1979401205","doi":"10.1002/chin.201251199","title":"ChemInform Abstract: Applications of Polydimethylsiloxane in Analytical Chemistry","year":2012,"lang":"en","type":"article","venue":"ChemInform","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chemistry; Polydimethylsiloxane; Nanotechnology; Polymer science; Computational chemistry; 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":[0.001747574,0.00137747,0.0008633969,0.004867537,0.0007309229,0.001950452,0.001583798,0.002081002,0.03230926],"category_scores_gemma":[0.002740511,0.0004861407,0.0005870484,0.004425919,0.001178513,0.002806773,0.001458569,0.003585101,0.03179653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682703,"about_ca_system_score_gemma":0.002235105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601883,"about_ca_topic_score_gemma":0.002892728,"domain_scores_codex":[0.9990369,0.00007894443,0.00005919119,0.0001239883,0.0006340542,0.00006699269],"domain_scores_gemma":[0.9971274,0.0007226446,0.0001990328,0.0001280608,0.001594245,0.0002287766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007293761,0.00006317892,0.0001317295,0.0054244,0.00004837549,0.0001191307,0.00003469769,0.0002186073,0.004681393,0.01370962,0.658814,0.3166819],"study_design_scores_gemma":[0.000006735191,0.00002869222,0.0001625598,0.0004264311,0.00001681053,0.0001880619,0.00000845689,0.00004165626,0.002379532,0.0008611159,0.9958703,0.000009666393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0004762516,0.900474,0.002874032,0.006787518,0.02614597,0.00006877675,0.0005674426,0.0002184133,0.06238753],"genre_scores_gemma":[0.00378212,0.9335012,0.001745243,0.004597871,0.01061763,0.0000430998,0.000794161,0.0000609949,0.04485771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03230926,"threshold_uncertainty_score":0.1080853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139707211525566,"score_gpt":0.2539456048836907,"score_spread":0.242548532768435,"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."}}