{"id":"W4250062358","doi":"10.1139/cjce-27-3-543","title":"Wood fibre - cement composites by extrusion","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Extrusion; Composite material; Materials science; Cement","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":[0.0005457813,0.0004382143,0.0006560608,0.0006009383,0.0006037036,0.0005140179,0.0003723845,0.0004441197,0.004534706],"category_scores_gemma":[0.0004081219,0.0004161881,0.0005303751,0.0004385802,0.0004935883,0.0007308762,0.00065333,0.001004983,0.000860416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043633,"about_ca_system_score_gemma":0.0002390123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006510709,"about_ca_topic_score_gemma":0.00253665,"domain_scores_codex":[0.9996265,0.00004082935,0.00002137205,0.00007508549,0.0001291381,0.0001070591],"domain_scores_gemma":[0.9998724,0.00005241122,0.00001841169,0.00002097846,0.00002612333,0.000009723602],"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":[0.0003255245,0.00008858615,0.0003921186,0.0001933459,0.00001371614,0.0003145387,0.0003622547,0.001143469,0.9800995,0.001820024,0.0002459872,0.01500105],"study_design_scores_gemma":[0.00004999701,0.0001549625,0.002307058,0.00001162868,0.00001988785,0.0002570087,0.00004825677,0.001019628,0.9899533,0.0001702503,0.005993905,0.00001405207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584993,0.001904179,0.02337218,0.000100684,0.0001134849,0.0001117351,0.0001347484,0.0003883136,0.01537546],"genre_scores_gemma":[0.9778718,0.0005649902,0.01139908,0.0000321885,0.00001839495,0.00002527931,0.0001056741,0.0001274794,0.009855028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004534706,"threshold_uncertainty_score":0.01517004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004837209828299207,"score_gpt":0.1791957497990898,"score_spread":0.1743585399707906,"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."}}