{"id":"W4415087266","doi":"10.1016/j.colsurfa.2025.138681","title":"Exploration of the synthesis of water-soluble phosphate metal complexes and the synergistic mechanism of lubrication and corrosion inhibition","year":2025,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Petro-Canada","funders":"Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences; Natural Science Foundation of Qingdao; Chinese Academy of Sciences; Key Technology Research and Development Program of Shandong; National Natural Science Foundation of China","keywords":"Lubrication; Lubricity; Phosphate; Aqueous solution; Corrosion; Adsorption; Metal; Metal ions in aqueous solution","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008164774,0.0001001684,0.0002402679,0.00002671824,0.00004404845,0.00001390162,0.00003457472,0.00003105843,8.085012e-7],"category_scores_gemma":[0.00002958827,0.00005779172,0.00002707943,0.0001060857,0.0001516082,0.00009124236,0.00005780525,0.00004974906,2.593083e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006049018,"about_ca_system_score_gemma":0.000004194493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003338233,"about_ca_topic_score_gemma":0.000001587764,"domain_scores_codex":[0.9995773,0.00001243045,0.0001603168,0.00009880667,0.00006889095,0.00008222154],"domain_scores_gemma":[0.9996771,0.0001598392,0.00003530596,0.00007798585,0.0000294038,0.00002039326],"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":[0.0000197699,0.00001413191,0.00001553086,0.0003536707,0.00003489442,6.911549e-8,0.0003013599,0.001293761,0.9629752,0.03456024,0.000007875717,0.000423477],"study_design_scores_gemma":[0.0003126031,0.00001541221,0.0004893091,0.000217291,0.00006323645,6.934388e-7,0.0001341371,0.06881661,0.92427,0.005601342,0.00001413793,0.00006525151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959913,0.001132787,0.002442073,0.00006579799,0.00005577888,0.0001527594,0.00001845134,0.00001810082,0.0001229086],"genre_scores_gemma":[0.9992959,0.0005551977,0.00009687846,0.000002665702,0.000007354772,0.0000191265,0.000003122228,0.000006928884,0.00001282154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06752285,"threshold_uncertainty_score":0.2356678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005416135208846183,"score_gpt":0.1761198012021515,"score_spread":0.1707036659933053,"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."}}