{"id":"W2160721836","doi":"10.1061/(asce)0733-9364(2005)131:10(1099)","title":"Application of the Theory of Inventive Problem Solving in Tunnel Construction","year":2005,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tunnel construction; Computer science; Engineering; Calculus (dental); Mathematics; Engineering drawing; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000178904,0.00007948807,0.0001452834,0.0001377713,0.00001497439,0.000003729792,0.00005738036,0.00002680345,0.000001999177],"category_scores_gemma":[0.000005415229,0.00006659973,0.00004459359,0.0001272374,0.00005541434,0.00008885895,0.00002593258,0.000101296,1.838332e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000569082,"about_ca_system_score_gemma":0.00000189832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001423207,"about_ca_topic_score_gemma":0.000001086126,"domain_scores_codex":[0.9994293,0.000008205862,0.0003316871,0.00004837841,0.0001056574,0.00007678648],"domain_scores_gemma":[0.9997767,0.00001748287,0.0001065288,0.00006558082,0.00001549882,0.00001823725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000008847151,0.00001724727,0.002995152,0.0004057586,0.0001493319,5.517996e-7,0.0003372367,0.8350117,0.006999659,0.00941041,0.00001838076,0.1446458],"study_design_scores_gemma":[0.005116569,0.0002394329,0.6343827,0.003098959,0.0006065069,0.0006950917,0.009587956,0.251688,0.07454122,0.005347251,0.01362613,0.001070204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018149,0.001431536,0.1945088,0.00006282834,0.0004585184,0.0002081735,0.000002179821,0.0000339305,0.001479091],"genre_scores_gemma":[0.9799213,0.0008332696,0.01919068,0.0000018845,0.00003258911,0.000004025577,1.666704e-7,0.000008493415,0.000007614856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6313875,"threshold_uncertainty_score":0.2715858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002897945461531467,"score_gpt":0.1534408048790379,"score_spread":0.1505428594175064,"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."}}