{"id":"W2348963133","doi":"","title":"Study on silsesquioxane-epoxy hybrid resin.","year":2006,"lang":"en","type":"article","venue":"Silicone Material","topic":"Silicone and Siloxane Chemistry","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Silsesquioxane; Epoxy; Differential scanning calorimetry; Fourier transform infrared spectroscopy; Materials science; Polymer chemistry; Aniline; Thermosetting polymer; Composite material; Chemical engineering; Chemistry; Polymer; 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":["insufficient_payload"],"category_scores_codex":[0.0004173602,0.0003737265,0.0004479622,0.00008223771,0.0002223911,0.0003012113,0.0004578668,0.00008206974,0.003198975],"category_scores_gemma":[0.00005965445,0.0003386522,0.00009493346,0.0001233592,0.0001476735,0.0001684846,0.0001529248,0.0001284248,0.001706469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008115539,"about_ca_system_score_gemma":0.00006567823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006710179,"about_ca_topic_score_gemma":0.00002607092,"domain_scores_codex":[0.9973969,0.0001386586,0.0005816474,0.0007559616,0.0005100326,0.0006168378],"domain_scores_gemma":[0.9987465,0.00007621945,0.0001609756,0.0008318647,0.00006646846,0.0001179348],"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":[0.0002644171,0.000631324,0.001737889,0.00001747178,0.000007576782,0.0002806202,0.00008109609,0.00001870397,0.9899253,0.0001336365,0.006845437,0.000056537],"study_design_scores_gemma":[0.001263508,0.0003615325,0.008697444,0.00001604825,0.00002721777,0.0000711576,0.0002793954,9.872751e-7,0.9876336,0.0003844921,0.0008705852,0.0003940148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881452,0.0000261954,0.000001789376,0.0001250885,0.001732169,0.0004362808,0.0001344307,0.0003763456,0.009022492],"genre_scores_gemma":[0.9963842,7.832227e-7,0.0000376069,0.0001596441,0.001630354,0.00007574117,0.00006118054,0.00005097892,0.00159951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008238994,"threshold_uncertainty_score":0.9999065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348204777542157,"score_gpt":0.2448472066256895,"score_spread":0.2313651588502679,"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."}}