{"id":"W2802940346","doi":"10.7939/r34953","title":"Assessment of Pipeline Installation Using the Eliminator: a New Guided Boring Machine","year":2015,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Computer science; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006900896,0.00008792705,0.0001342346,0.00009619626,0.00002915821,0.00000694005,0.0002301952,0.00004492449,0.00005305349],"category_scores_gemma":[0.00002851995,0.00008838729,0.00003922576,0.0001868649,0.00003952774,0.0004850037,0.0001335145,0.00009448836,7.718614e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005413825,"about_ca_system_score_gemma":0.0001118422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900027,"about_ca_topic_score_gemma":0.00004020593,"domain_scores_codex":[0.9995506,0.00002669794,0.0001248582,0.00008585305,0.0001219452,0.00009006988],"domain_scores_gemma":[0.999523,0.0001017214,0.00007672236,0.0002072601,0.00003055327,0.00006070487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001258859,0.0001703472,0.7215062,0.0004875391,0.0003455094,0.00003527185,0.01220588,0.03373285,0.03890962,0.1485354,0.04018129,0.003764196],"study_design_scores_gemma":[0.003370987,0.0003750331,0.09597309,0.0009408946,0.0003661675,0.00006887989,0.003114666,0.7676283,0.03708301,0.07828165,0.01153642,0.001260977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823484,0.00007808469,0.03175087,0.0001390222,0.00006626097,0.0001439895,0.000004323591,0.0002101709,0.08525893],"genre_scores_gemma":[0.6839767,0.00001117573,0.3158579,0.000006401534,0.0000166912,2.748125e-8,0.00001122434,0.00001416275,0.0001057331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7338954,"threshold_uncertainty_score":0.3604329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896385236776594,"score_gpt":0.2406882287557811,"score_spread":0.2117243763880152,"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."}}