{"id":"W6930866608","doi":"10.5281/zenodo.15457278","title":"DEVELOPMENT OF CLAY-POLYMER NANOCOMPOSITES (PNC) FOR INDUSTRIAL APPLICATION","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanocomposite; Process (computing); Nanoparticle; Carbon nanotube; Manufacturing process","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002207035,0.0003127512,0.0002388021,0.0002806264,0.0001727909,0.0003430502,0.0002355851,0.0004214931,0.001315623],"category_scores_gemma":[0.0003566035,0.0001538384,0.0001815133,0.0002240219,0.0001903785,0.0002599506,0.0002532343,0.0006799962,0.0005011213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311992,"about_ca_system_score_gemma":0.0003136667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004140001,"about_ca_topic_score_gemma":0.000874139,"domain_scores_codex":[0.9998734,0.00001181786,0.000009273929,0.00003562129,0.00005252496,0.00001734046],"domain_scores_gemma":[0.9998463,0.00003363468,0.00002797376,0.00001090281,0.00004117236,0.00003992649],"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":[0.00001240025,0.00002464577,0.00003867778,0.00005559189,0.000001579188,0.00003799333,0.000006168187,0.0001801071,0.9951165,0.0001500509,0.00005162787,0.004324646],"study_design_scores_gemma":[0.000006473289,0.00009255078,0.0002715675,0.000005576578,0.000005017597,0.000111422,0.000006895618,0.001545297,0.994137,0.00004582549,0.00376842,0.000003906558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8199412,0.005220701,0.1486591,0.000883335,0.0002981993,0.000771774,0.0005312217,0.001408566,0.02228582],"genre_scores_gemma":[0.9142208,0.00196433,0.07607639,0.0001290713,0.00002518248,0.000187583,0.0003430218,0.00008055729,0.006973051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001315623,"threshold_uncertainty_score":0.004401207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300737455352518,"score_gpt":0.2864236908799071,"score_spread":0.2734163163263819,"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."}}