{"id":"W2792107430","doi":"10.6028/nist.sp.1044","title":"Advanced Coatings R and D for Pipelines and Related Facilities","year":2005,"lang":"en","type":"report","venue":"","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; National Institute of Standards and Technology; U.S. Department of the Interior","keywords":"Pipeline transport; Forensic engineering; Business; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003560043,0.000179832,0.0002928292,0.00006072183,0.0001226922,0.00007939595,0.00004208242,0.0001994913,0.001191601],"category_scores_gemma":[0.0002138626,0.0001456512,0.00004388914,0.00002812906,0.00009776145,0.0001685733,0.00005963447,0.00007900967,0.00001066315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003951318,"about_ca_system_score_gemma":0.0000961904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065796,"about_ca_topic_score_gemma":0.00005456432,"domain_scores_codex":[0.9988401,0.00001270783,0.0003794762,0.0003635749,0.00023896,0.0001651936],"domain_scores_gemma":[0.9992971,0.00007873513,0.0001576873,0.0001281211,0.0002798006,0.00005859603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003346949,0.00002125665,0.00008445342,0.0003637308,6.362229e-7,0.000001653868,0.0002617369,0.000001694102,0.9435394,0.00008349504,0.01891639,0.03669212],"study_design_scores_gemma":[0.001523384,0.0004081531,0.0005400689,0.0006220926,0.0001542321,0.0003356341,0.001188649,0.00009736071,0.3163783,0.0007670994,0.6769426,0.001042378],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951027,0.003395382,0.001231742,0.0004077868,0.001952515,0.001321933,0.001020809,0.0003802932,0.03926253],"genre_scores_gemma":[0.6526122,0.004012001,0.004937047,0.00008489282,0.0003325253,0.0002188839,0.0003446882,0.00005738435,0.3374004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6580263,"threshold_uncertainty_score":0.9997215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184279613290733,"score_gpt":0.318363826556419,"score_spread":0.2765210304235117,"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."}}