{"id":"W4248185726","doi":"10.1007/978-1-4614-6170-8_100208","title":"Strain Model","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Strain (injury); Computer science; Medicine; Anatomy","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":[0.0002421423,0.0012933,0.0009741891,0.001055899,0.0006125324,0.00154002,0.002482239,0.001412784,0.05157576],"category_scores_gemma":[0.0006669352,0.0004686863,0.0009805243,0.0007028885,0.0007040057,0.002134395,0.001297291,0.001582699,0.02918003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777518,"about_ca_system_score_gemma":0.0007094888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074427,"about_ca_topic_score_gemma":0.001685974,"domain_scores_codex":[0.9996902,0.00002421031,0.00001194176,0.00008178302,0.0001695227,0.00002237739],"domain_scores_gemma":[0.9998533,0.00002141643,0.00001069461,0.00004997566,0.00005241616,0.00001217113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003617887,0.00007985724,0.0002153688,0.0001931249,0.00002503797,0.0001179655,0.00008320247,0.1063264,0.008356354,0.7163644,0.0522676,0.1159346],"study_design_scores_gemma":[0.00002153903,0.00005128916,0.0002996323,0.00009539424,0.00003253857,0.0003696311,0.00006506439,0.4205917,0.006202469,0.2115983,0.3606229,0.00004957533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002664396,0.0009523747,0.6247319,0.0009115816,0.0008681366,0.0001386552,0.001978852,0.001618781,0.3661354],"genre_scores_gemma":[0.1097089,0.003376833,0.1372787,0.000844125,0.0005558864,0.0004230877,0.005304975,0.001909992,0.7405977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05157576,"threshold_uncertainty_score":0.1725381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867911726651544,"score_gpt":0.180425627602291,"score_spread":0.1617465103357755,"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."}}