{"id":"W4405360556","doi":"10.1115/ipc2024-133691","title":"Profile Matching for Performance Assessment of Dented Pipe","year":2024,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Matching (statistics); Computer science; Mathematics; Statistics","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":[0.001042382,0.0005826553,0.0004088503,0.0008662749,0.0002735761,0.0005125634,0.0005333674,0.0006600215,0.001275188],"category_scores_gemma":[0.003159051,0.0003845057,0.0003606516,0.0003241212,0.000328782,0.0006360069,0.0005512967,0.0002618706,0.0003048202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003270248,"about_ca_system_score_gemma":0.0003036396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009033293,"about_ca_topic_score_gemma":0.001583894,"domain_scores_codex":[0.9993973,0.000100554,0.00003943721,0.00006622326,0.000353537,0.0000430481],"domain_scores_gemma":[0.9984701,0.0004074762,0.0003020653,0.0002924926,0.0004710776,0.00005673473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008070024,0.0002114092,0.02229422,0.0004399515,0.00004871251,0.0004255917,0.0005152563,0.3162342,0.5300049,0.001021057,0.0004853355,0.1275124],"study_design_scores_gemma":[0.00001441,0.0005993219,0.02776133,0.00004189763,0.0000302324,0.0002184288,0.0001617743,0.7579016,0.2121149,0.0003370091,0.0007653518,0.00005381044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8320153,0.0002231924,0.1644353,0.00005299869,0.0000174318,0.00006944636,0.0001506055,0.0006119197,0.00242377],"genre_scores_gemma":[0.983219,0.00005998265,0.01614929,0.000007029599,0.000001488359,0.0000120344,0.00007664738,0.0000239866,0.0004505502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001275188,"threshold_uncertainty_score":0.005512714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006532542438726736,"score_gpt":0.2413177065073857,"score_spread":0.234785164068659,"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."}}