{"id":"W4251722429","doi":"10.1063/1.4895779.5","title":"10.1063/1.4895779.5","year":2014,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Alberta","funders":"","keywords":"Drop (telecommunication); Wetting; Materials science; Substrate (aquarium); Sessile drop technique; Surface energy; Liquid drop; Contact angle; Nanotechnology; Composite material; Optoelectronics; Mechanical engineering; Engineering","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003262736,0.0006372437,0.0007694517,0.0002005533,0.0002511214,0.0007481132,0.001157221,0.0005323297,0.01392896],"category_scores_gemma":[0.0004789967,0.0005723475,0.0003137621,0.0002829335,0.0003122879,0.0005334077,0.0003270716,0.0003959215,0.1074235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332271,"about_ca_system_score_gemma":0.0001184168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002494527,"about_ca_topic_score_gemma":0.00005523295,"domain_scores_codex":[0.9966142,0.0001301339,0.0006865681,0.001029356,0.0008624954,0.0006772344],"domain_scores_gemma":[0.9974309,0.0002809645,0.0002954831,0.001549605,0.0001405506,0.0003025566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005076518,0.0001696,0.00000462049,0.00006659838,0.00001561452,0.0000409984,0.00002090807,0.000009953575,0.001513462,0.00000787055,0.9976623,0.0004373262],"study_design_scores_gemma":[0.0003602802,0.0001586347,0.00004163402,0.00004152714,0.0000268145,0.00006458858,0.00001543167,0.0000393781,0.0009677789,0.00003534491,0.9975393,0.0007092846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009745498,0.0001461613,0.00007088208,0.00003619988,0.000947801,0.0003479656,0.9809448,0.0002901251,0.007470586],"genre_scores_gemma":[0.01288415,0.00004809455,0.00005117383,0.0003465792,0.0004028981,0.00006767803,0.9794148,0.00006266111,0.006722028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09349457,"threshold_uncertainty_score":0.9996728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251480963434381,"score_gpt":0.2374737021434667,"score_spread":0.2249588925091229,"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."}}