{"id":"W2886836107","doi":"10.1007/978-3-319-97112-4_32","title":"Micro-structure Evolution in Layered Granular Materials During Biaxial Compression","year":2018,"lang":"en","type":"book-chapter","venue":"Springer series in geomechanics and geoengineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Granular material; Deformation (meteorology); Compression (physics); Composite material; Diagonal; Granular layer; Layer (electronics); Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001775809,0.0006979294,0.0007711413,0.0007140201,0.00007678363,0.00009647295,0.0002542936,0.0007397518,0.0002670052],"category_scores_gemma":[0.00001084469,0.0007957693,0.00008744852,0.0001195498,0.00003868387,0.0002402644,0.0002406304,0.0006246498,0.00001623223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002340695,"about_ca_system_score_gemma":0.00001690647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002450392,"about_ca_topic_score_gemma":0.0001260784,"domain_scores_codex":[0.9979199,0.00001160106,0.0006708262,0.0005297889,0.0002362606,0.0006316586],"domain_scores_gemma":[0.9993194,0.00001316857,0.00007266445,0.0004405141,0.00004177228,0.0001124938],"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":[0.000115565,0.00001045931,0.00004867016,0.001682701,0.00007490269,0.0001765507,0.0004312567,0.008491527,0.9772931,0.01120064,0.00003183978,0.0004427443],"study_design_scores_gemma":[0.009521635,0.0004647608,0.003975615,0.01234635,0.000288052,0.0007383341,0.0002167656,0.06241088,0.7674649,0.07588352,0.056602,0.01008717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844086,0.005983918,0.003279864,0.00001782717,0.003627846,0.0007368123,0.0002826041,0.0005152271,0.001147327],"genre_scores_gemma":[0.9946047,0.001906603,0.001011738,0.000006502643,0.0005371326,0.00002757463,0.0001084554,0.000292192,0.001505085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2098282,"threshold_uncertainty_score":0.9994493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003968512875948876,"score_gpt":0.1656410712437569,"score_spread":0.161672558367808,"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."}}