{"id":"W4312158869","doi":"10.1016/j.ijbiomac.2022.12.122","title":"Cellulose-based superhydrophobic wrinkled paper and electrospinning film as green tribolayer for water wave energy harvesting","year":2022,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Triboelectric effect; Electrospinning; Nanofiber; Composite material; Contact angle; Cellulose; Nanogenerator; Nanocellulose; Chemical engineering; Polymer","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":[],"consensus_categories":[],"category_scores_codex":[0.0002495707,0.0001710364,0.0002499462,0.0001178724,0.0001040805,0.00006995655,0.0002394405,0.00005969582,0.0002844076],"category_scores_gemma":[0.00009833604,0.0001234481,0.0001218271,0.00004554862,0.00004646841,0.0001075876,0.00008963273,0.0001685022,0.000001411488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008554368,"about_ca_system_score_gemma":0.00001563383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003485256,"about_ca_topic_score_gemma":0.000001996274,"domain_scores_codex":[0.998831,0.00007935609,0.0004389428,0.0001602073,0.0002255336,0.0002650085],"domain_scores_gemma":[0.999466,0.000161998,0.00009883987,0.00006138663,0.00013079,0.00008099591],"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":[0.0002080235,0.00002885981,0.00006892456,0.000007870777,0.00008651767,0.0001995274,0.00004271193,0.02647049,0.9699082,0.0007525109,0.00004756945,0.002178729],"study_design_scores_gemma":[0.001468752,0.0007920358,0.0002655919,0.00003464706,0.00002325474,0.0007704187,0.00005163293,0.01259603,0.9527349,0.005968936,0.02496432,0.000329513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869882,0.0002564857,0.01148525,0.0003041432,0.0005566184,0.0000498671,0.00003092423,0.00005756934,0.0002709395],"genre_scores_gemma":[0.9955298,0.00004596803,0.00340194,0.000512708,0.0002639121,0.00002124659,0.00005522721,0.00002778093,0.0001414532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02491675,"threshold_uncertainty_score":0.5034068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651218246323567,"score_gpt":0.2276494360344334,"score_spread":0.2111372535711977,"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."}}