{"id":"W4318990030","doi":"10.13031/soil.2023045","title":"Evaluation of the Suitability of Engineered Growth of Fungal-Mycelial Networks for Reinforcement of Sands","year":2023,"lang":"en","type":"article","venue":"Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mycelium; Soil water; Environmental science; Water retention; Infiltration (HVAC); Environmental engineering; Soil science; Botany; Biology; Materials science; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01490413,0.0003666684,0.0007822002,0.001364655,0.0003246165,0.00003325315,0.0008568614,0.0003172145,0.0001896375],"category_scores_gemma":[0.001483921,0.0003037752,0.000468754,0.004015098,0.0003827011,0.0001987571,0.0007402212,0.0006353167,0.00001277231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863484,"about_ca_system_score_gemma":0.0003227779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006429825,"about_ca_topic_score_gemma":0.0002243562,"domain_scores_codex":[0.9924555,0.0007147461,0.001233319,0.0005126391,0.003396492,0.001687313],"domain_scores_gemma":[0.9942918,0.001803385,0.0002373842,0.0009994099,0.002462321,0.0002057136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004380394,0.0002700842,0.0163216,0.004771701,0.000439118,0.00000322165,0.002122847,0.7186967,0.2453049,0.0008091136,0.007439793,0.003382834],"study_design_scores_gemma":[0.002703906,0.0005174461,0.06521497,0.0007881391,0.0001409987,0.000002449465,0.002035322,0.7900702,0.1374442,0.0007115168,0.00002641797,0.0003444059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923221,0.000912249,0.0006429719,0.0001359351,0.0006340944,0.002492764,0.0003073502,0.0001016442,0.002450863],"genre_scores_gemma":[0.9979028,0.0009628539,0.00007072185,0.00000899545,0.0001499051,0.0003797058,0.0001347541,0.00007966592,0.0003106019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1078607,"threshold_uncertainty_score":0.9999414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07869419277144135,"score_gpt":0.3397904820626734,"score_spread":0.261096289291232,"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."}}