{"id":"W2900571192","doi":"10.5006/c2018-11245","title":"Abrasive Blasting Surface Preparation – Does the Pipeline Coating Industry Really Understand It?","year":2018,"lang":"en","type":"article","venue":"","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian General-Tower (Canada)","funders":"","keywords":"Rock blasting; Coating; Abrasive; Pipeline (software); Materials science; Metallurgy; Pipeline transport; Composite material; Engineering; Mechanical engineering; Geotechnical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002517376,0.000285374,0.0003226235,0.0004604498,0.0008023806,0.002648691,0.0005143216,0.001869287,0.002247767],"category_scores_gemma":[0.003266029,0.0001550266,0.0001924153,0.0006128731,0.001700801,0.00317976,0.0008025917,0.001923885,0.001200627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008829831,"about_ca_system_score_gemma":0.001458829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766991,"about_ca_topic_score_gemma":0.003183788,"domain_scores_codex":[0.999027,0.0001873892,0.00005342705,0.00008054613,0.0005102931,0.0001412327],"domain_scores_gemma":[0.9976426,0.0007710543,0.0002644678,0.0001321238,0.001084189,0.0001055861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003118788,0.0004521334,0.0234808,0.001831857,0.00003881046,0.002170629,0.01732134,0.002149939,0.04165577,0.07504494,0.1116623,0.7238797],"study_design_scores_gemma":[0.000034155,0.0008636733,0.02164894,0.0009694578,0.00003343603,0.00303572,0.03378614,0.002245421,0.02333308,0.05141387,0.8625247,0.0001113064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2440462,0.1061071,0.05439015,0.3901839,0.01080768,0.0001268223,0.0001445229,0.0006474141,0.1935461],"genre_scores_gemma":[0.7957742,0.06991028,0.02043755,0.04390011,0.002387602,0.00005398307,0.0001716086,0.0002506768,0.06711393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002648691,"threshold_uncertainty_score":0.01331329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434966466366767,"score_gpt":0.2960466819531929,"score_spread":0.2525500353165163,"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."}}