{"id":"W2900133514","doi":"10.1115/ipc2018-78242","title":"Directional Caliper Tool Development","year":2018,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Calipers; Computer science; Engineering; Mechanical engineering","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":[0.00005769538,0.00006454029,0.00004569165,0.00003439646,0.00003983572,0.00001083255,0.00005533456,0.00002781544,0.0006016682],"category_scores_gemma":[0.00002000704,0.00005978497,0.000009932377,0.00006865311,0.00002949678,0.0000501409,0.00001907312,0.0000430881,0.0002395003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007494693,"about_ca_system_score_gemma":0.00001338196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000796218,"about_ca_topic_score_gemma":0.000009799377,"domain_scores_codex":[0.9996592,0.000003369958,0.00008212404,0.00007523035,0.00007223072,0.0001077965],"domain_scores_gemma":[0.9998372,0.00001731913,0.000004618766,0.00008025879,0.00003951845,0.00002106701],"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":[0.00002042203,0.0001074252,0.0953173,0.0001255175,0.0002744737,0.00001736265,0.001487279,0.00003115586,0.3849693,0.2214387,0.1714102,0.1248008],"study_design_scores_gemma":[0.0001990342,0.00005462271,0.1468522,0.00004490335,0.000006436522,0.00004789436,0.00001429724,0.0009707439,0.699843,0.06556761,0.08572339,0.0006757882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4610288,0.000007712933,0.105774,0.00001295039,0.0002673944,0.00006688362,5.641979e-7,0.002973479,0.4298682],"genre_scores_gemma":[0.3553053,3.485917e-7,0.6443586,0.00002521402,0.00008910038,0.00001199472,8.558274e-7,0.00001163561,0.0001970447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5385845,"threshold_uncertainty_score":0.6587844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307796035267317,"score_gpt":0.2265127386254079,"score_spread":0.2134347782727347,"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."}}