{"id":"W2340628053","doi":"10.1111/jace.14171","title":"On Compressive Brittle Fragmentation","year":2016,"lang":"en","type":"article","venue":"Journal of the American Ceramic Society","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Army Research Laboratory","keywords":"Brittleness; Fragmentation (computing); Ultimate tensile strength; Materials science; Compressive strength; Coalescence (physics); Silicon carbide; Boron carbide; Composite material; Physics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002473312,0.00009291914,0.0002100815,0.00001444595,0.000117276,0.00005002575,0.0003365029,0.00002372006,0.0002925785],"category_scores_gemma":[0.00006424056,0.0000445285,0.0002227542,0.00009436216,0.0002827317,0.0001475018,0.00005267777,0.00008515701,0.00007189583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692141,"about_ca_system_score_gemma":0.00007052744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005375051,"about_ca_topic_score_gemma":0.000001099452,"domain_scores_codex":[0.9990563,0.0001020563,0.0002514666,0.00008603321,0.0003284066,0.0001757271],"domain_scores_gemma":[0.998812,0.0001446732,0.0007140518,0.0001709495,0.0000925166,0.00006577298],"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":[0.00005561025,0.00004045331,0.0005713271,0.000002155655,0.00001256659,0.00000136168,0.0004359721,0.00001870122,0.982289,0.00004559758,0.01452764,0.001999667],"study_design_scores_gemma":[0.001432387,0.0005644819,0.102485,0.0001778045,0.0000812636,0.00007912857,0.0007723307,0.000009581392,0.8911714,0.0009080821,0.002093131,0.0002253369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961578,0.000008167876,0.0004845028,0.002205906,0.0009905969,0.00006647609,0.0000247734,0.00001319305,0.00004855618],"genre_scores_gemma":[0.9978139,0.00003338314,0.0007004364,0.0009980929,0.0002039607,0.000001370189,2.040869e-7,0.0000106846,0.0002379121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1019137,"threshold_uncertainty_score":0.3203529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208001646698545,"score_gpt":0.2798270310091597,"score_spread":0.2677470145421743,"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."}}