{"id":"W3035378380","doi":"","title":"The Analogue Shear Zone: From Rheology To Associated Geometry","year":2006,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rheology; Shear (geology); Geology; Strain hardening exponent; Finite strain theory; Shear zone; Non-Newtonian fluid; Mechanics; Finite element method; Geotechnical engineering; Materials science; Composite material; Physics; Petrology; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002607882,0.0004186603,0.0004253413,0.001428975,0.0003303703,0.001936974,0.0007805099,0.0006052724,0.004338211],"category_scores_gemma":[0.001429139,0.0003085019,0.0001944355,0.0008377347,0.002058673,0.002969386,0.001140691,0.0008037856,0.0006774873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003199214,"about_ca_system_score_gemma":0.0001267164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002276074,"about_ca_topic_score_gemma":0.0001104898,"domain_scores_codex":[0.9997976,0.00004548516,0.00001066131,0.00006408474,0.00005598688,0.00002621949],"domain_scores_gemma":[0.9995871,0.0000948213,0.0000911497,0.0001193523,0.00004687374,0.00006073959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004215768,0.0001131815,0.003202435,0.0003046996,0.00002822879,0.0005916575,0.0006179673,0.02276706,0.08871695,0.8086457,0.001855228,0.07273532],"study_design_scores_gemma":[0.00007379433,0.0004253068,0.01070034,0.00009252768,0.00003690422,0.00120268,0.0004679986,0.1949091,0.03439298,0.7244562,0.03310338,0.0001388802],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7061324,0.007867241,0.2111159,0.001010851,0.0004814933,0.0001191617,0.0005240243,0.0006333303,0.07211556],"genre_scores_gemma":[0.9852223,0.001635625,0.008313438,0.00004956971,0.0002005224,0.0000154497,0.00008948752,0.00009429429,0.004379396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004338211,"threshold_uncertainty_score":0.01451272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003683674521652865,"score_gpt":0.1666832391467946,"score_spread":0.1629995646251417,"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."}}