{"id":"W4401917006","doi":"10.1039/9781839167980-00218","title":"Hydrophobic and Superhydrophobic Protein-based Materials for Functional Applications","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Nanotechnology","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":[0.0005410179,0.0005846323,0.0006006726,0.0002539979,0.0003041277,0.000343124,0.0002705008,0.0004848411,0.01151078],"category_scores_gemma":[0.00001718645,0.0005162371,0.0001946453,0.00005387043,0.0003325178,0.00009907861,0.0001006718,0.0002052209,0.003236388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199651,"about_ca_system_score_gemma":0.0003194259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003295732,"about_ca_topic_score_gemma":0.00001572947,"domain_scores_codex":[0.9972051,0.0000217726,0.0006744026,0.001176566,0.0005429724,0.0003791811],"domain_scores_gemma":[0.9985167,0.0001491774,0.0001468603,0.0006911097,0.0002963042,0.0001998986],"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":[0.00006544057,0.00002694844,3.19829e-7,0.0003679346,0.00002211942,0.00000279188,0.00001513428,0.00002597444,0.8253934,0.1721231,0.001867547,0.00008928728],"study_design_scores_gemma":[0.0005917414,0.0001196803,0.000002923944,0.0001632957,0.00015217,0.0000171587,0.00001098199,0.0005700239,0.4545796,0.04188266,0.5010404,0.0008693524],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.229547,0.005189109,0.02843798,0.004113501,0.004077865,0.02278125,0.007518919,0.003375518,0.6949588],"genre_scores_gemma":[0.2089571,0.00004021284,0.002006256,0.000470379,0.0005352685,0.002618602,0.0005182772,0.0002290055,0.7846249],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4991729,"threshold_uncertainty_score":0.9997289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675097036968447,"score_gpt":0.2340282811808749,"score_spread":0.2072773108111904,"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."}}