{"id":"W4255749541","doi":"10.1061/9780784481578.056","title":"Evaluation of Screening Tool for Impact Hammer Selection for Installation, Testing and Damage Mitigation of Steel Pipe and H-Piles","year":2018,"lang":"en","type":"article","venue":"IFCEE 2018","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Read Jones Christoffersen (Canada)","funders":"","keywords":"Hammer; Pile; Selection (genetic algorithm); Engineering; Impact energy; Structural engineering; Reliability engineering; Geotechnical engineering; Marine engineering; 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":[0.0006422604,0.00006797053,0.00009572395,0.00006450609,0.00005519016,0.0000148417,0.00002138453,0.00005384998,0.00000250055],"category_scores_gemma":[0.0003275344,0.00006991597,0.00001930983,0.00009151091,0.00002390575,0.0001426437,0.000008077037,0.00002203854,8.725137e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002874957,"about_ca_system_score_gemma":0.00002158888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002874652,"about_ca_topic_score_gemma":0.0000445299,"domain_scores_codex":[0.9995216,0.00001324318,0.000171421,0.00008844089,0.0001169602,0.00008840435],"domain_scores_gemma":[0.9991645,0.0001130517,0.00007615428,0.00005696228,0.0005709209,0.00001846168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006680661,0.00002194426,0.0390437,0.000353931,0.0001351296,1.345068e-8,0.0006477438,0.01005465,0.402079,0.0005609331,0.0001442795,0.5468919],"study_design_scores_gemma":[0.0005882207,0.0002130686,0.06905655,0.00005096032,0.00006778765,0.000001047566,0.00003883764,0.9167249,0.01198677,0.001192595,0.00001148728,0.00006775108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042131,0.00004207955,0.09519075,0.000004213266,0.00005579991,0.0003703218,0.00003373411,0.00002266019,0.00006738444],"genre_scores_gemma":[0.9840187,0.000004516023,0.01583835,0.000002531013,0.0000770055,0.00002306276,0.00001569335,0.0000168414,0.000003232778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9066703,"threshold_uncertainty_score":0.285109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0418489939527411,"score_gpt":0.2923153565362333,"score_spread":0.2504663625834922,"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."}}