{"id":"W1970787212","doi":"10.1016/j.carbpol.2012.10.056","title":"Environmental friendly method for the extraction of coir fibre and isolation of nanofibre","year":2012,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":319,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Retting; Coir; Steam explosion; Cellulose; Lignin; Raw material; Environmentally friendly; Materials science; Pulp and paper industry; Extraction (chemistry); Cellulose fiber; Fiber; Composite material; Chemistry; Chromatography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004020869,0.00009029693,0.0001524248,0.0000449625,0.0001200463,0.000007034784,0.00008239573,0.00003869531,0.00006151161],"category_scores_gemma":[0.00005453459,0.00006447602,0.00004526454,0.00007903056,0.000242188,0.0002666331,0.00006582247,0.00003828427,0.000002037939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002975743,"about_ca_system_score_gemma":0.00001478883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004683526,"about_ca_topic_score_gemma":0.000001486307,"domain_scores_codex":[0.9991864,0.00007213959,0.0001864547,0.0001272179,0.0001868852,0.0002408992],"domain_scores_gemma":[0.9991053,0.0005082756,0.0001618878,0.0001511527,0.00001876766,0.00005457717],"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":[0.00005150489,0.00001996209,0.0003292949,0.00003688552,0.00001809488,8.221537e-8,0.0006246828,0.00004911853,0.9933029,0.0002199931,0.00001835606,0.005329149],"study_design_scores_gemma":[0.0001968299,0.0000816723,0.001971171,0.00000966811,0.00003701689,0.000002130047,0.001485447,0.001269704,0.9943268,0.00007333626,0.0004779068,0.00006827942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283421,0.007261879,0.06325597,0.0001341423,0.0002700337,0.0003846561,0.0001133876,0.0000127145,0.0002251282],"genre_scores_gemma":[0.9914839,0.000186241,0.008117011,0.000008794376,0.00005935729,0.00003480511,0.000004392448,0.00001112683,0.00009440989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06314178,"threshold_uncertainty_score":0.2629256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741648902177659,"score_gpt":0.3033493792483659,"score_spread":0.2859328902265893,"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."}}