{"id":"W3096424154","doi":"10.1039/d0gc02987d","title":"A water-based process for the surface functionalisation of ceramic fibres","year":2020,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"Direction Générale de l’Armement","keywords":"Ceramic; Hydrothermal circulation; Materials science; Process (computing); Surface (topology); Chemical engineering; Nanotechnology; Composite material; Engineering; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00003187602,0.00006599024,0.00006421041,0.000003294328,0.00003361531,0.000006119735,0.0001253573,0.00004752633,0.00004747881],"category_scores_gemma":[0.00003310541,0.00004458141,0.00003409153,0.00003089116,0.00003694804,0.00001723193,0.00001541884,0.000071712,0.000002455022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009134324,"about_ca_system_score_gemma":0.000006698326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000465583,"about_ca_topic_score_gemma":2.190066e-7,"domain_scores_codex":[0.9996909,0.000001512602,0.00007962082,0.00008046937,0.00006030678,0.00008717853],"domain_scores_gemma":[0.9997832,0.00006717933,0.0000169427,0.00009291597,0.00002742893,0.00001231197],"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":[0.00004609689,0.00001105958,0.0004051722,0.002251446,0.00008926252,5.785436e-7,0.0003300226,0.3166912,0.6706449,0.00001005037,0.00143289,0.008087263],"study_design_scores_gemma":[0.0001138855,0.000007089503,0.0001175015,0.0000115951,0.000009052415,2.986332e-7,0.00007068942,0.04751955,0.9503565,0.0001967425,0.001539365,0.00005769228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823845,0.00004442409,0.01564673,0.001207478,0.00002238463,0.00007701534,0.00003932284,0.0003827076,0.0001954419],"genre_scores_gemma":[0.9996222,0.000001302896,0.0002014556,0.00002058065,0.00005517558,0.00001462614,0.00003185032,0.00001099897,0.00004179997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2797116,"threshold_uncertainty_score":0.1817977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02733128015061619,"score_gpt":0.2239562501367556,"score_spread":0.1966249699861394,"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."}}