{"id":"W2051710721","doi":"10.1007/s11244-014-0326-0","title":"Hydrogenation of a Tri-layer High Performance Elastomer: Substrate Synthesis, Catalytic Latex Hydrogenation, and Catalyst Recovery","year":2014,"lang":"en","type":"article","venue":"Topics in Catalysis","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catalysis; Elastomer; Materials science; Substrate (aquarium); Layer (electronics); Polymer; Chemical engineering; Polymer chemistry; Composite material; Organic chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00062053,0.0001661883,0.0003565534,0.000250591,0.00009384137,0.00005132731,0.0002455117,0.00009361029,0.00005860842],"category_scores_gemma":[0.00008736864,0.0001463661,0.00005600444,0.0003587405,0.0001109154,0.0003540785,0.00007907337,0.00007901642,0.00005089422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005943952,"about_ca_system_score_gemma":0.00004000084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008645643,"about_ca_topic_score_gemma":0.0001956643,"domain_scores_codex":[0.9986123,0.00008061031,0.000481354,0.0003284299,0.0002525344,0.000244777],"domain_scores_gemma":[0.9991643,0.0001273703,0.0002075597,0.0003748977,0.0000669845,0.0000589132],"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":[0.0001465629,0.0001981015,0.02811294,0.000416768,0.00009392864,0.000004291423,0.001184468,0.002159544,0.9195901,0.0007145407,0.00004207779,0.04733665],"study_design_scores_gemma":[0.0002489654,0.00005340621,0.008646926,0.00004893052,0.00008329104,0.000008283164,0.00001891526,0.003679426,0.9865209,0.0002024939,0.000298739,0.0001897441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982448,0.0006049793,0.00005074017,0.0001876048,0.0001135114,0.0001182903,0.00002322476,0.00002824281,0.000628564],"genre_scores_gemma":[0.9990627,0.0002133278,0.0002037832,0.00003498613,0.00005999054,0.00003352267,0.00004545594,0.00001493924,0.0003312655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06693076,"threshold_uncertainty_score":0.5968635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130020775399056,"score_gpt":0.2115303770190878,"score_spread":0.2002301692650972,"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."}}