{"id":"W2964546307","doi":"10.1002/admi.201900839","title":"Assessment and Interpretation of Surface Wettability Based on Sessile Droplet Contact Angle Measurement: Challenges and Opportunities","year":2019,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Wetting; Contact angle; Wetting transition; Materials science; Sessile drop technique; Solid surface; Work (physics); Nanotechnology; Composite material; Chemical physics; Thermodynamics; Chemistry; Physics","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":[0.004847739,0.0008355579,0.001114213,0.002849399,0.0002306136,0.001833025,0.001120675,0.001115086,0.0007106111],"category_scores_gemma":[0.0037974,0.0003753686,0.0003775787,0.001607126,0.0008809067,0.001696603,0.0009004381,0.001486617,0.000481815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000389704,"about_ca_system_score_gemma":0.0004886222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000634506,"about_ca_topic_score_gemma":0.001043336,"domain_scores_codex":[0.9969562,0.0010894,0.0002151362,0.0003084359,0.0013347,0.00009612709],"domain_scores_gemma":[0.9954582,0.002021426,0.0006451266,0.0003741238,0.001359451,0.0001417465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001279303,0.00007935894,0.007634627,0.002601537,0.0001250542,0.000380484,0.0002611599,0.001581504,0.8537723,0.004613207,0.001721323,0.1271015],"study_design_scores_gemma":[0.00001643133,0.0006175457,0.02749192,0.000697787,0.0001644172,0.002989124,0.001240188,0.05525106,0.8560362,0.01431369,0.04090776,0.0002739218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1969197,0.1696733,0.6181059,0.002895785,0.000800645,0.0002674607,0.001116558,0.001347922,0.008872692],"genre_scores_gemma":[0.6115902,0.07687841,0.3068794,0.0009169902,0.0005073909,0.0002397081,0.0006998547,0.0002031243,0.002084976],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004847739,"threshold_uncertainty_score":0.02563757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05418365863508375,"score_gpt":0.2893685651408873,"score_spread":0.2351849065058036,"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."}}