{"id":"W62233728","doi":"10.1007/978-1-4020-6091-5_17","title":"From Drug Cocktails to Tissue Engineering: Synthesis of ROMP Polymers for Biomedical Applications","year":2007,"lang":"en","type":"book-chapter","venue":"NATO science series. Series II, Mathematics, physics and chemistry","topic":"Synthetic Organic Chemistry Methods","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"ROMP; Monomer; Ring-opening metathesis polymerisation; Metathesis; Polymerization; Polymer; Polymer chemistry; Polymer science; Materials science; Combinatorial chemistry; Nanotechnology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005374269,0.0007865509,0.001160884,0.0000760008,0.0003380896,0.0001065591,0.001301174,0.0005776808,0.001610404],"category_scores_gemma":[0.0005293293,0.000852032,0.0002173735,0.0002529021,0.001834424,0.0001980604,0.0006920626,0.0004467782,0.000008002642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002382995,"about_ca_system_score_gemma":0.000491736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497179,"about_ca_topic_score_gemma":0.000001133682,"domain_scores_codex":[0.9961153,0.000002230924,0.001009375,0.001146388,0.001056567,0.000670184],"domain_scores_gemma":[0.9963528,0.0005860013,0.0006558871,0.001429842,0.0003904385,0.0005850169],"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":[0.00003061642,0.0001348372,4.307177e-7,0.002885558,0.0001356619,0.000003145304,0.0008618461,0.000001531131,0.9770733,0.01020235,0.0002426178,0.008428166],"study_design_scores_gemma":[0.0001605785,0.00001736641,7.568961e-8,0.0006456961,0.0001867314,0.00003088103,0.001050011,0.00006049289,0.9000641,0.02142306,0.07561424,0.000746828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03937584,0.002380905,0.0339158,0.002021904,0.0009376332,0.002734686,0.0126159,0.00116197,0.9048554],"genre_scores_gemma":[0.07014493,0.0005491512,0.4047686,0.000121357,0.005803747,0.001183042,0.0008024194,0.001138977,0.5154878],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3893676,"threshold_uncertainty_score":0.999393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349254080771684,"score_gpt":0.2668992340612207,"score_spread":0.2534066932535038,"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."}}