{"id":"W2755742228","doi":"","title":"Probabilistic Support Design In Squeezing Ground","year":2012,"lang":"en","type":"article","venue":"ISRM International Symposium - EUROCK 2012","topic":"Engineering Structural Analysis Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Probabilistic logic; Computer science; Artificial intelligence","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":[0.001023855,0.0007100807,0.00116139,0.000690052,0.0004508151,0.00123736,0.001435735,0.001361438,0.007517928],"category_scores_gemma":[0.003462091,0.000815373,0.0006147097,0.0005173743,0.001103275,0.001524223,0.002179548,0.000923492,0.0006653062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469082,"about_ca_system_score_gemma":0.000671656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354625,"about_ca_topic_score_gemma":0.001915315,"domain_scores_codex":[0.9993798,0.0001676421,0.00002451889,0.0001155134,0.0002542589,0.0000582934],"domain_scores_gemma":[0.9990574,0.0005025769,0.00008414654,0.0001329992,0.0001616593,0.00006130426],"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":[0.0001970997,0.00006485249,0.0005447991,0.0001201719,0.00002804571,0.00008441656,0.00008501878,0.8935984,0.004547225,0.05057402,0.0008608095,0.04929511],"study_design_scores_gemma":[0.0000147494,0.00004789232,0.0000618206,0.000008068938,0.000008399366,0.00001671397,0.0000149975,0.987156,0.0007357528,0.01124541,0.0006859346,0.000004187771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02086467,0.00007018358,0.9749921,0.0001282844,0.00002329689,0.00003123872,0.00003998883,0.0002387743,0.003611376],"genre_scores_gemma":[0.7409595,0.0001441867,0.250761,0.0001381514,0.0000333605,0.0001441345,0.0001811089,0.0002506828,0.007387945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007517928,"threshold_uncertainty_score":0.02515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972028302737695,"score_gpt":0.2608311884257705,"score_spread":0.2411109053983935,"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."}}