{"id":"W4388889449","doi":"10.1016/j.optlastec.2023.110318","title":"Combined laser patterning and polypropylene coating procedure for producing superhydrophobic magnesium surfaces: Insights from wetting models","year":2023,"lang":"en","type":"article","venue":"Optics & Laser Technology","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Materials science; Wetting; Laser; Coating; Polypropylene; Contact angle; Scanning electron microscope; Surface roughness; Laser power scaling; Surface finish; Composite material; Optics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003808732,0.0003369847,0.0004564853,0.000327307,0.0005229382,0.0001544803,0.0004112401,0.0003466028,0.00004296435],"category_scores_gemma":[0.0003104595,0.0003191854,0.00005355917,0.0006884193,0.0002352169,0.0003258829,0.0003067073,0.0002734419,0.0001005751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005662445,"about_ca_system_score_gemma":0.0000851354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308427,"about_ca_topic_score_gemma":0.00006489104,"domain_scores_codex":[0.9975275,0.0000666039,0.0005275325,0.0009875179,0.0002584956,0.0006323018],"domain_scores_gemma":[0.9986472,0.0002392853,0.0001739523,0.0006283408,0.0002038063,0.0001074143],"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":[0.00004620352,0.00005833404,0.003121333,0.0001245731,0.00001157438,0.00001466039,0.001247586,0.006346497,0.9882144,0.000490259,0.00007216971,0.0002524068],"study_design_scores_gemma":[0.0009133988,0.0001322014,0.0004408678,0.00007132631,0.0000384847,0.000005545421,0.00155839,0.2303446,0.7608244,0.005198697,0.00007172408,0.0004003959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941989,0.0001563131,0.001150508,0.002044296,0.0003360604,0.0007897062,0.00008389598,0.001168797,0.00007155162],"genre_scores_gemma":[0.9878581,0.00003384057,0.01116971,0.0001773908,0.00006705081,0.0002000312,0.00009615289,0.00007763203,0.0003200577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22739,"threshold_uncertainty_score":0.999926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058211435777705,"score_gpt":0.2377498509704369,"score_spread":0.2171677366126599,"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."}}