{"id":"W2084369771","doi":"10.1115/ipc2004-0371","title":"In Situ Monitoring of Environmental Conditions for Stress Corrosion Cracking","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); Nova Chemicals (Canada)","funders":"","keywords":"Environmental science; Stress corrosion cracking; Corrosion; Cracking; Environmental monitoring; Work (physics); Corrosion monitoring; Pipeline transport; Soil science; Environmental engineering; Materials science; Engineering; Metallurgy; Composite material","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":[0.0001664286,0.0002802131,0.0002634839,0.0003838997,0.0002524398,0.0003821015,0.0002489547,0.0004043302,0.001107789],"category_scores_gemma":[0.0004210879,0.0001923801,0.000131512,0.0003793985,0.0001298873,0.0003222254,0.0002421061,0.0003639306,0.000198413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002744123,"about_ca_system_score_gemma":0.0001346942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893299,"about_ca_topic_score_gemma":0.005613847,"domain_scores_codex":[0.9998153,0.00002019196,0.00000700769,0.00005925403,0.00007602567,0.00002219527],"domain_scores_gemma":[0.9997438,0.00005072342,0.00006921832,0.00002367314,0.00009508619,0.00001749304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001053245,0.00004952735,0.02241599,0.0001022091,0.00001651183,0.0001272263,0.0001522299,0.0009460531,0.9601778,0.00008356493,0.0003268978,0.01549663],"study_design_scores_gemma":[0.00002106823,0.0008627424,0.1818317,0.00003096735,0.00008300065,0.000774197,0.0005425203,0.01873948,0.7915585,0.0003309547,0.005181238,0.00004352755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771935,0.0002849342,0.01625775,0.0001080892,0.00003235251,0.00003048613,0.0007180638,0.000353453,0.005021327],"genre_scores_gemma":[0.9915193,0.0002229982,0.006555767,0.00003172454,0.000009587225,0.00001726627,0.0003346664,0.00002297611,0.001285647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001893299,"threshold_uncertainty_score":0.00376451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895397548081221,"score_gpt":0.2826702736743885,"score_spread":0.2637162981935762,"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."}}