{"id":"W4286255742","doi":"10.1016/j.heliyon.2022.e09856","title":"Characterization and optimization of the properties of untreated high land bamboo fibres","year":2022,"lang":"en","type":"article","venue":"Heliyon","topic":"Bamboo properties and applications","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Thermogravimetric analysis; Composite material; Materials science; Bamboo; Fourier transform infrared spectroscopy; Modulus; Characterization (materials science); Optics; Chemistry; Nanotechnology","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":[0.00003742733,0.00003514043,0.00005857642,0.000003737777,0.0001517184,0.000007163691,0.00007262835,0.00001424999,0.0001465401],"category_scores_gemma":[0.000005133828,0.00001092491,0.00001549073,0.0001286708,0.0000352705,0.00003167887,0.00007690558,0.00002692498,2.71071e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004349658,"about_ca_system_score_gemma":0.000003080543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001525148,"about_ca_topic_score_gemma":0.00001989435,"domain_scores_codex":[0.9996738,0.00003647465,0.00009695461,0.00006964501,0.00007722068,0.00004589994],"domain_scores_gemma":[0.9998482,0.0000080307,0.00007265328,0.00003174815,0.0000300736,0.000009236241],"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":[0.00001773401,0.0000283169,0.007558875,0.0000226893,0.000003127417,1.700679e-8,0.00007180852,0.0005987453,0.9873592,0.0001166382,0.000004803244,0.004218085],"study_design_scores_gemma":[0.0002281528,0.0003146128,0.4903999,0.0001048314,0.00002613476,0.000004637941,0.0003967437,0.002309352,0.4993382,0.00003051964,0.006699489,0.0001473568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984275,0.0002264665,0.000008912609,0.001070214,0.00002257705,0.0001408433,0.00006597723,0.000009192371,0.00002831788],"genre_scores_gemma":[0.9993836,0.0001491366,0.0000200035,0.00005128628,0.00001621141,0.00002325223,0.00003838318,4.663375e-7,0.0003177018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4880209,"threshold_uncertainty_score":0.1604511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632537361778242,"score_gpt":0.169891810894826,"score_spread":0.1535664372770436,"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."}}