{"id":"W2078140921","doi":"10.1016/j.surfcoat.2004.02.044","title":"The effect of Ni2+ on zinc phosphating of 2024-T3 Al alloy","year":2004,"lang":"en","type":"article","venue":"Surface and Coatings Technology","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale","keywords":"Materials science; Scanning electron microscope; X-ray photoelectron spectroscopy; Alloy; Coating; Zinc; Conversion coating; Metallurgy; Auger electron spectroscopy; Corrosion; Cathodic protection; Energy-dispersive X-ray spectroscopy; Analytical Chemistry (journal); Electrochemistry; Chemical engineering; Composite material; Chemistry; 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":[0.0003727675,0.0000927068,0.0001768527,0.00003703433,0.0001403134,0.00001120892,0.000138915,0.00009514958,0.00003156436],"category_scores_gemma":[0.0001049057,0.00006180725,0.00003125119,0.0001725888,0.0002717261,0.00004499513,0.00007257421,0.0001074089,0.00001068998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472608,"about_ca_system_score_gemma":0.00001389448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007506608,"about_ca_topic_score_gemma":0.00001994645,"domain_scores_codex":[0.9992799,0.00002594715,0.0002273035,0.0001706787,0.0001350588,0.0001611637],"domain_scores_gemma":[0.9994547,0.0001189611,0.0001760308,0.0001874612,0.0000462923,0.00001656099],"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":[0.00004060218,0.00001476423,0.00267742,0.00001369805,4.639777e-7,8.333157e-7,0.0000640355,0.00007529213,0.991901,0.001595349,0.0001049987,0.003511484],"study_design_scores_gemma":[0.0004232491,0.001033181,0.0001111824,0.00008822807,0.000009049159,0.000004550278,0.0001648141,0.000004942622,0.9970036,0.000746104,0.0003506257,0.00006044229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984685,0.000214047,0.00004882689,0.0007092508,0.0001427802,0.0001554731,0.000005879534,0.0000611724,0.0001941106],"genre_scores_gemma":[0.9995278,0.00004162555,0.0003092894,0.00003490051,0.000004053637,0.000008535637,9.15984e-7,0.000007016076,0.0000658342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005102572,"threshold_uncertainty_score":0.2520427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005595443052878852,"score_gpt":0.2478314367132095,"score_spread":0.2422359936603306,"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."}}