{"id":"W4380451506","doi":"10.52202/069251-0031","title":"The Development of a Small-Diameter High-Temperature Deformation Caliper and Inertial In-Line Inspection Tool","year":2022,"lang":"en","type":"article","venue":"","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Suncor Energy (Canada)","funders":"","keywords":"Calipers; Deformation (meteorology); Line (geometry); Inertial frame of reference; Materials science; Mechanical engineering; Computer science; Engineering; Physics; Composite material; Mathematics; Geometry","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":[0.0001482939,0.00005036781,0.00005288525,0.00004364014,0.00009087204,0.00001105356,0.00004507153,0.00002142737,0.00001578734],"category_scores_gemma":[0.000004095947,0.00003353742,0.000009643563,0.00008823124,0.000008159024,0.0000628495,0.00004063438,0.00009683586,4.945965e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005827485,"about_ca_system_score_gemma":0.000009173705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003667062,"about_ca_topic_score_gemma":0.0002335746,"domain_scores_codex":[0.9996544,0.00001077989,0.0001597961,0.00004174129,0.00006428824,0.0000690301],"domain_scores_gemma":[0.9999018,0.00001153822,0.00001143686,0.0000566916,0.00001007779,0.000008500699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004308857,0.0002684721,0.007578387,0.0004455369,0.0002396094,0.000008135997,0.02663397,0.04603606,0.6809807,0.02351872,0.002060317,0.2117991],"study_design_scores_gemma":[0.0008376783,0.0001381939,0.0186563,0.00002561169,0.00001035345,0.0000193902,0.0006171847,0.04337585,0.926257,0.0009662551,0.008749811,0.0003463953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985529,0.0000340444,0.0007905958,0.00002751601,0.00009423425,0.00009757096,0.000001971659,0.0001453609,0.0002557938],"genre_scores_gemma":[0.9968688,0.000009308791,0.002987443,0.00001597666,0.00001287215,0.00004949246,0.000007343208,0.000006681776,0.00004203221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2452762,"threshold_uncertainty_score":0.1367616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006662535705064859,"score_gpt":0.1891188769257711,"score_spread":0.1824563412207063,"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."}}