{"id":"W4388410301","doi":"10.2991/978-94-6463-258-3_15","title":"Rock Reinforcement Data for Analysis and Design","year":2023,"lang":"en","type":"book-chapter","venue":"Atlantis highlights in engineering/Atlantis Highlights in Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reinforcement; Computer science; Psychology; Social psychology","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":["metaepi_narrow"],"category_scores_codex":[0.0008830525,0.001881346,0.002489711,0.004414095,0.0001236073,0.0002391936,0.001610933,0.001287892,0.00003561614],"category_scores_gemma":[0.00009980611,0.001992957,0.0003924369,0.001033231,0.00002177025,0.0005585703,0.0006767187,0.001054049,0.00005860102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004719256,"about_ca_system_score_gemma":0.00006948077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001204435,"about_ca_topic_score_gemma":0.0003399348,"domain_scores_codex":[0.9933852,0.00001780261,0.002133659,0.001943786,0.0007989071,0.001720631],"domain_scores_gemma":[0.9963368,0.0007110375,0.0002415554,0.002203002,0.0001073382,0.0004003079],"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":[0.00002310725,0.00001655252,0.000006871941,0.001243211,0.001277885,0.0003442763,0.0001257221,0.9049052,0.0008253815,0.08947358,0.001592939,0.0001652622],"study_design_scores_gemma":[0.001001635,0.00007229821,0.00006181192,0.001479667,0.0006660246,0.00003340531,0.00000377662,0.8515834,0.0008456497,0.0002345345,0.1419741,0.002043677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006307405,0.00385786,0.9791142,0.0002182336,0.006956209,0.003040941,0.0005841794,0.002870841,0.002726745],"genre_scores_gemma":[0.54294,0.1960041,0.09107913,0.0001184307,0.005139601,0.002208154,0.01509746,0.006706112,0.140707],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8880351,"threshold_uncertainty_score":0.999393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132011360644132,"score_gpt":0.2292258763452173,"score_spread":0.197905762738776,"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."}}