{"id":"W2376239986","doi":"","title":"Preparation of Hydrophilic Silicone Rubber","year":2011,"lang":"en","type":"article","venue":"Cailiao daobao","topic":"Synthesis and properties of polymers","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Polydimethylsiloxane; Silicone rubber; Materials science; Silicone; Contact angle; Polymer; Fourier transform infrared spectroscopy; Polymer chemistry; Composite material; Elastomer; Silicone Elastomers; Chemical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000225179,0.00009391435,0.000163561,0.00003607088,0.00004889283,0.00001259766,0.0002140373,0.00005471293,0.004302138],"category_scores_gemma":[0.00006626376,0.00007515311,0.00005485368,0.00006332611,0.0001369845,0.0002019516,0.00004441672,0.00003045028,0.0006311945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508915,"about_ca_system_score_gemma":0.00002980067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003990593,"about_ca_topic_score_gemma":0.00001827708,"domain_scores_codex":[0.9991924,0.0000462503,0.0002358759,0.0001996028,0.0001482598,0.0001775942],"domain_scores_gemma":[0.9994119,0.00002617409,0.00009785411,0.0003609036,0.000045337,0.00005776781],"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":[0.00008003265,0.00005406604,0.0005389472,0.00002035045,0.000006070943,0.000001280053,0.001154035,0.000003254735,0.9946958,0.0004871358,0.001143015,0.001816049],"study_design_scores_gemma":[0.0001105413,0.0001324553,0.00117314,0.00001699565,0.00001349748,0.000002923879,0.0001028942,0.00005326191,0.9960976,0.0002334921,0.001961631,0.0001015401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719731,0.0005739589,0.00002404483,0.00002972789,0.0002829648,0.0001064339,0.000008943292,0.00004323498,0.02695763],"genre_scores_gemma":[0.9980901,0.0000203165,0.000525186,0.00006761205,0.00005133009,0.00001469275,0.000001836746,0.00001087409,0.001218035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02611706,"threshold_uncertainty_score":0.9966081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964307325186051,"score_gpt":0.2603755780304142,"score_spread":0.2207325047785537,"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."}}