{"id":"W2262194557","doi":"10.1016/j.surfcoat.2016.02.017","title":"A study on corrosion behaviors of Ni–Cr–Mo laser coating, 316 stainless steel and X70 steel in simulated solutions with H2S and CO2","year":2016,"lang":"en","type":"article","venue":"Surface and Coatings Technology","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"RGL Reservoir Management","keywords":"Materials science; Corrosion; Coating; Metallurgy; Microstructure; Polarization (electrochemistry); Pitting corrosion; Electrochemistry; Composite material; Electrode","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003510792,0.0001964198,0.0003296117,0.0001968764,0.0001899866,0.00002728135,0.00009653771,0.0001804085,0.0000201546],"category_scores_gemma":[0.00005852912,0.0001364262,0.00001238823,0.0002838416,0.0004581376,0.0001562575,0.0001645311,0.0001502666,0.000003205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003527214,"about_ca_system_score_gemma":0.00002848783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581815,"about_ca_topic_score_gemma":0.000496317,"domain_scores_codex":[0.9986143,0.00007374399,0.0003445919,0.0004654739,0.0001963436,0.0003055352],"domain_scores_gemma":[0.9992809,0.0001092238,0.0002107176,0.0002189454,0.0001230783,0.00005712628],"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":[0.00009771144,0.0002424206,0.1985743,0.00001189258,4.97203e-7,0.000008421769,0.0005546776,0.00002171196,0.7996779,0.0001249657,0.00001658247,0.0006688731],"study_design_scores_gemma":[0.005446657,0.004776989,0.066838,0.0006842194,0.00008056725,0.00003672172,0.01384284,0.00005816661,0.9074179,0.0003018779,0.00003126505,0.0004848377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988253,0.00005595259,0.0001004575,0.0002070053,0.00004078818,0.0005878508,0.00004770839,0.0001159284,0.00001904066],"genre_scores_gemma":[0.9996359,0.00003311193,0.0001442719,0.00001967509,0.000002891119,0.0000227052,0.000002389885,0.00001783334,0.000121212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1317363,"threshold_uncertainty_score":0.55633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731713960346732,"score_gpt":0.2621811804825546,"score_spread":0.2448640408790873,"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."}}