{"id":"W6911912155","doi":"10.5281/zenodo.15068135","title":"Anowar's Handbook on Advance Textile Technology","year":2025,"lang":"en","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Textile; Clothing; Weaving; Yarn; Textile industry; Key (lock); Textile design","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007756799,0.0002806887,0.0003332092,0.0005170006,0.001949127,0.001105074,0.00191568,0.0002695504,0.03836071],"category_scores_gemma":[0.0008556885,0.0002925467,0.00007517768,0.0004115543,0.000274112,0.0001265794,0.004483956,0.0004821108,0.02178801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526085,"about_ca_system_score_gemma":0.00002219253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001166306,"about_ca_topic_score_gemma":5.088534e-7,"domain_scores_codex":[0.9974183,0.0003731226,0.0004203833,0.000872897,0.0004421216,0.0004731612],"domain_scores_gemma":[0.997793,0.00003407028,0.0002349295,0.001139557,0.0006820582,0.0001164265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002584361,0.0005873743,0.000001913898,0.0007388636,0.00007836772,0.00003142197,0.001365763,0.00506635,0.3400434,0.02699483,0.4547866,0.1700467],"study_design_scores_gemma":[0.0003587572,0.0001850599,0.00005539594,0.0003688704,0.00002829475,0.00002069972,0.00009926891,0.0002822798,0.03599913,0.004568256,0.9577154,0.0003185994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.242841,0.001923397,0.0274486,0.009301757,0.006131742,0.005657464,0.01225315,0.01298226,0.6814606],"genre_scores_gemma":[0.9577604,0.0009580153,0.006153256,0.0009392794,0.001119232,0.000003051921,0.007404004,0.003902315,0.02176047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7149194,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785241938675799,"score_gpt":0.2873629004550134,"score_spread":0.2495104810682554,"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."}}