{"id":"W4385469373","doi":"10.1007/s10924-023-02968-x","title":"Preparation of Co(II)/Cu(II) Metal-Based Metallopolymer Nanocomposites: A Protective Coating for Carbon Steel","year":2023,"lang":"en","type":"article","venue":"Journal of Polymers and the Environment","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Materials science; X-ray photoelectron spectroscopy; Chemical engineering; Polymer; Corrosion; Coating; Nanocomposite; Electrochemistry; Dielectric spectroscopy; Composite material; Electrode; Physical chemistry","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":[0.0002025525,0.0004811603,0.0002835255,0.0003192024,0.0002226994,0.0002646804,0.0003495602,0.000410572,0.0007464414],"category_scores_gemma":[0.0002804737,0.0002691631,0.0002286817,0.0001938553,0.0001352631,0.0002088568,0.0001902899,0.0004575267,0.0003504658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915443,"about_ca_system_score_gemma":0.0001783198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005385772,"about_ca_topic_score_gemma":0.0016961,"domain_scores_codex":[0.9997968,0.0000206133,0.00001840285,0.00005261097,0.00006563978,0.00004598119],"domain_scores_gemma":[0.9998355,0.00002318059,0.00004149111,0.00001893187,0.00004736555,0.00003355877],"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":[0.0000315706,0.00001090013,0.00003294408,0.00004187473,0.000003904348,0.00003072334,0.00001158533,0.00005521928,0.9989437,0.00002555297,0.00003041554,0.0007816108],"study_design_scores_gemma":[0.000003382737,0.00004494694,0.0003395574,0.00000195556,0.000005900829,0.00003566011,0.000005758884,0.0003368278,0.9987392,0.000003775756,0.0004803897,0.000002672012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805104,0.001608807,0.01383313,0.0001124298,0.00008018138,0.000112839,0.0002216249,0.0002673189,0.003253284],"genre_scores_gemma":[0.989197,0.0005133224,0.007623769,0.0000228052,0.00001450717,0.00003379738,0.0001472518,0.00004493474,0.002402651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007464414,"threshold_uncertainty_score":0.002497077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584278723053872,"score_gpt":0.2690861842490302,"score_spread":0.2532433970184915,"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."}}