{"id":"W4255903648","doi":"10.33774/chemrxiv-2021-2b35c-v2","title":"“Exhaustive” Baeyer-Villiger Oxidation of Poly(Methyl Vinyl Ketone) and Its Copolymers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"South China University of Technology; National Natural Science Foundation of China; Sun Yat-sen University; Université de Montréal; Natural Science Foundation of Guangdong Province; Yale University","keywords":"Copolymer; Ketone; Molecule; Reactivity (psychology); Vinyl acetate; Monomer; Polymer; Polymerization; Small molecule; Combinatorial chemistry; Substrate (aquarium); Chemistry; Materials science; Computer science; Polymer chemistry; Organic chemistry","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":[0.0002753684,0.0003199955,0.0001641132,0.0001500516,0.000113135,0.0002035115,0.0001533249,0.0002056526,0.0007506774],"category_scores_gemma":[0.00026509,0.0001784722,0.0001273931,0.0001460761,0.0001613683,0.0003788286,0.0002335526,0.0005099992,0.0002701738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786704,"about_ca_system_score_gemma":0.0002213005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003237753,"about_ca_topic_score_gemma":0.0008813564,"domain_scores_codex":[0.9998071,0.00003051886,0.00001674854,0.00004659783,0.00004848181,0.00005057563],"domain_scores_gemma":[0.999909,0.00002188137,0.00003001274,0.00001538836,0.00001152223,0.0000121354],"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":[0.00004234424,0.00001280389,0.00007366003,0.00006524404,0.000005670737,0.00004763257,0.00002214016,0.0002517675,0.9939295,0.0009013598,0.00004984434,0.004598042],"study_design_scores_gemma":[0.000003232627,0.0000840986,0.0003168595,0.000003154508,0.000002735694,0.00005758933,0.000005449378,0.0006088807,0.997175,0.00009088632,0.001649005,0.00000315797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307446,0.002865245,0.05991736,0.0001203095,0.00009091804,0.0001152259,0.0001612928,0.0001747558,0.005810345],"genre_scores_gemma":[0.9793229,0.001526071,0.01600803,0.00003843064,0.00001405255,0.00004831955,0.0001455703,0.00002600159,0.002870685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007506774,"threshold_uncertainty_score":0.002511322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680067088752273,"score_gpt":0.2539997392045631,"score_spread":0.2371990683170404,"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."}}