{"id":"W4389615346","doi":"10.1002/pssa.202300723","title":"Tailoring Resin–Metal Adhesion by Femtosecond Laser Surface Texturing","year":2023,"lang":"en","type":"article","venue":"physica status solidi (a)","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Microscale chemistry; Composite material; Femtosecond; Adhesion; Laser; Composite number; Wetting; Epoxy; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001022635,0.0003106096,0.0001634535,0.0001680173,0.0001812381,0.0002936236,0.0002313312,0.0002700231,0.001779291],"category_scores_gemma":[0.0002689445,0.0001743333,0.0001770935,0.000142837,0.0001835937,0.0002284993,0.0002284655,0.0002825729,0.0003931577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207425,"about_ca_system_score_gemma":0.0001081881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006202172,"about_ca_topic_score_gemma":0.0009299691,"domain_scores_codex":[0.9998771,0.000007650849,0.000006741337,0.0000336663,0.00004068137,0.00003413713],"domain_scores_gemma":[0.9998741,0.00004358879,0.00004059312,0.00001566822,0.00001717001,0.000008809105],"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":[0.00001053076,0.000006554858,0.0000691678,0.00001958885,0.000001532361,0.00001012644,0.00001427387,0.0001389452,0.9985435,0.00002563141,0.0000202889,0.00114001],"study_design_scores_gemma":[0.000002545071,0.00009293529,0.001423571,0.000001313712,0.000002663315,0.00001925613,0.00002174295,0.001436808,0.9964477,0.00001559672,0.0005323695,0.000003550401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939393,0.0003942188,0.004536286,0.00002557981,0.00001613177,0.00001631982,0.00005593686,0.00008434952,0.0009319108],"genre_scores_gemma":[0.9951769,0.0003029032,0.003413851,0.00002033389,0.000007324266,0.00001872246,0.00005327681,0.00002873013,0.0009779248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001779291,"threshold_uncertainty_score":0.005952299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431185329916507,"score_gpt":0.2424533259627598,"score_spread":0.2281414726635947,"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."}}