{"id":"W2933961851","doi":"10.1016/j.conbuildmat.2019.03.327","title":"Resilient hemp shiv aggregates with engineered hygroscopic properties for the building industry","year":2019,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université Laval","keywords":"Coating; Materials science; Fourier transform infrared spectroscopy; Contact angle; Moisture; Absorption of water; Mercury intrusion porosimetry; Surface roughness; Composite material; Adsorption; Porosimetry; Chemical engineering; Porosity; Chemistry; Porous medium; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003460255,0.0003025013,0.0003753966,0.00009807952,0.0001934904,0.0003999121,0.00020475,0.0002027125,0.0001944981],"category_scores_gemma":[0.00005231567,0.0001938447,0.00003547373,0.00009692728,0.0001727541,0.0002782075,0.00006040199,0.0001545558,0.00001163308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005340185,"about_ca_system_score_gemma":0.00002405079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002077225,"about_ca_topic_score_gemma":9.740023e-7,"domain_scores_codex":[0.9987402,0.00003922101,0.0003731141,0.0003036554,0.0001553407,0.0003884941],"domain_scores_gemma":[0.9993896,0.00008441574,0.00009036916,0.0003027004,0.0000608032,0.00007207739],"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":[0.0001066427,0.000004239351,0.0003772372,0.0004480756,0.00008209079,6.08086e-7,0.00009800719,0.005928744,0.9896175,0.0009119574,0.00008153771,0.002343392],"study_design_scores_gemma":[0.0006978465,0.00007010863,0.0002822559,0.0004881005,0.00004411942,0.00006491259,0.0001716059,0.0009263348,0.9920221,0.0001016009,0.004812026,0.0003190131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940572,0.0007090846,0.001629445,0.0001868403,0.001899359,0.001013719,0.0000288612,0.0004025497,0.00007298575],"genre_scores_gemma":[0.9917278,0.0001007426,0.007482854,0.00005260688,0.0002771384,0.0001587707,0.000003172321,0.00008101918,0.0001159497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005853408,"threshold_uncertainty_score":0.7904756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169209845027191,"score_gpt":0.2023440754317434,"score_spread":0.1906519769814715,"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."}}