{"id":"W2897807840","doi":"10.3390/fib6040081","title":"Effect of Density and Fiber Size on Porosity and Thermal Conductivity of Fiberboard Mats","year":2018,"lang":"en","type":"article","venue":"Fibers","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porosity; Materials science; Composite material; Thermal conductivity; Fiber; Fiberboard; Thermal conduction","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":[0.0003944415,0.000160472,0.0003394843,0.00003635563,0.00007776832,0.00001957429,0.0001189429,0.00009115588,0.0002114669],"category_scores_gemma":[0.0001251002,0.0001225599,0.00004472832,0.00007963834,0.0005196028,0.000158967,0.000149399,0.0000901493,0.00003076452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001758916,"about_ca_system_score_gemma":0.00001286458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159199,"about_ca_topic_score_gemma":0.000004091105,"domain_scores_codex":[0.9990069,0.0001435857,0.0001862129,0.000263214,0.0002092708,0.0001907755],"domain_scores_gemma":[0.9988131,0.0006204685,0.0001519663,0.0002693387,0.00006947296,0.00007568349],"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":[0.0004658402,0.000008766012,0.001013189,0.000108616,0.00001237117,0.000001933736,0.0002169464,0.000003774407,0.9967535,0.00007452441,0.0001209155,0.00121969],"study_design_scores_gemma":[0.0004906919,0.001021068,0.02041025,0.0000565699,0.00003077063,0.00001140203,0.000004251047,0.00002151175,0.9777097,0.00008865696,0.00003801379,0.0001170894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986005,0.00005180758,0.000001933438,0.00004887426,0.0001448556,0.0002197053,0.0000191511,0.00003198811,0.0008811843],"genre_scores_gemma":[0.9988487,0.000002116918,0.0008472471,0.00004574705,0.00004238248,0.000002073459,0.000001359695,0.00001005753,0.0002003389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01939706,"threshold_uncertainty_score":0.4997849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006463675654384904,"score_gpt":0.2420812372385928,"score_spread":0.2356175615842079,"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."}}