{"id":"W3088076253","doi":"10.1186/s40643-020-00339-1","title":"Fibre attributes and mapping the cultivar influence of different industrial cellulosic crops (cotton, hemp, flax, and canola) on textile properties","year":2020,"lang":"en","type":"article","venue":"Bioresources and Bioprocessing","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Canola; Textile; Cultivar; Agronomy; Biology; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009823287,0.0002120924,0.0002565024,0.00004394892,0.0003754814,0.0003207324,0.0001850973,0.00009978477,0.000006729555],"category_scores_gemma":[0.00008446568,0.0001142879,0.00002381156,0.0001758472,0.000425795,0.0001699849,0.0002440627,0.0001635881,0.000001363806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001116524,"about_ca_system_score_gemma":0.00001990335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076475,"about_ca_topic_score_gemma":0.000003007145,"domain_scores_codex":[0.9988934,0.00003870033,0.0002849929,0.0003332997,0.0002170934,0.0002325448],"domain_scores_gemma":[0.9994648,0.00007523099,0.0001865277,0.0001062189,0.00005522199,0.0001120279],"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":[0.00009031549,0.000006247448,0.006401015,0.000205671,0.000007600095,0.000001432549,0.0024531,0.00003543015,0.9884419,0.00001586449,0.00002857138,0.00231281],"study_design_scores_gemma":[0.0004171494,0.0002258421,0.009172648,0.0005461921,0.00002401617,0.00001034503,0.0008015974,0.001089584,0.9865525,0.00002679461,0.0009107548,0.0002225755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995477,0.002812204,0.000004955966,0.001391722,0.00002526765,0.0002030617,0.00001978758,0.0000441556,0.00002183975],"genre_scores_gemma":[0.9994834,0.00005430534,0.00007981696,0.0002090225,0.0001236529,0.000005334115,0.000002587669,0.00001109359,0.00003078706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004006394,"threshold_uncertainty_score":0.4660526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04463756993172634,"score_gpt":0.2163253787057404,"score_spread":0.1716878087740141,"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."}}