{"id":"W2773148398","doi":"10.1002/cphc.201701261","title":"Cover Feature: Formation, Structure, and Composition of Methylaluminoxane (ChemPhysChem 23/2017)","year":2017,"lang":"en","type":"article","venue":"ChemPhysChem","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Methylaluminoxane; Cover (algebra); Composition (language); Chemistry; Catalysis; Feature (linguistics); Function (biology); Polymer chemistry; Chemical engineering; Organic chemistry; Philosophy; Metallocene; Biology; Polymer; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0001192739,0.0002862663,0.0004429345,0.00008989539,0.0001711928,0.00009815708,0.0004255488,0.0002344288,0.0001112851],"category_scores_gemma":[0.0002367185,0.0002978333,0.0001451232,0.000134897,0.0002201626,0.0006238316,0.0002358137,0.0002347447,0.00002590002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008095623,"about_ca_system_score_gemma":0.00002391225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000156618,"about_ca_topic_score_gemma":0.000001504955,"domain_scores_codex":[0.9986195,0.00001280125,0.0003754774,0.0003605725,0.0003639432,0.0002676863],"domain_scores_gemma":[0.9980779,0.0000849178,0.0004525656,0.001009792,0.0002312355,0.0001435778],"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":[0.00002996511,0.00002840546,0.000514411,0.00026721,0.00009111836,0.000002275134,0.0001964462,0.0001329209,0.9943933,0.0009510399,0.002811248,0.0005816488],"study_design_scores_gemma":[0.0008649537,0.00001032504,0.001600903,0.0000648507,0.00009333393,0.00002290997,0.00002784857,0.01119336,0.9842941,0.0002498315,0.001278097,0.0002995358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901894,0.0004077847,0.00330892,0.0002420244,0.0001505067,0.0001923355,0.0001063703,0.0001189786,0.005283637],"genre_scores_gemma":[0.9958431,0.00003865773,0.002932077,0.00005516889,0.0001605312,0.00001471212,0.0002838337,0.00004233117,0.0006296635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01106044,"threshold_uncertainty_score":0.9999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445581988491301,"score_gpt":0.2510264984177866,"score_spread":0.2365706785328736,"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."}}