{"id":"W2037651922","doi":"10.1142/s0219581x14500203","title":"Surface Roughness Characterization of <font>ZnO</font>: <font>TiO</font><sub>2</sub>-Organic Blended Solar Cells Layers by Atomic Force Microscopy and Fractal Analysis","year":2014,"lang":"en","type":"article","venue":"International Journal of Nanoscience","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Chlorobenzene; Materials science; Surface roughness; Nanometre; Surface finish; Characterization (materials science); Organic solar cell; Fractal; Fractal dimension; Atomic force microscopy; Analytical Chemistry (journal); Solar cell; Chemical engineering; Nanotechnology; Composite material; Optoelectronics; Polymer; Chromatography; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001070536,0.0001795377,0.0001590127,0.0005019055,0.0001146611,0.0002886876,0.0001389925,0.0002763014,0.0005060305],"category_scores_gemma":[0.0003271302,0.0001409147,0.00016564,0.0002182604,0.0001688344,0.0001849067,0.0001225133,0.0002056738,0.00008208408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043239,"about_ca_system_score_gemma":0.00005617832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005501,"about_ca_topic_score_gemma":0.00145801,"domain_scores_codex":[0.9998971,0.000005700118,0.000006455613,0.00001855595,0.00005871418,0.00001335169],"domain_scores_gemma":[0.9998001,0.00005579013,0.00004844428,0.00001721959,0.00006435966,0.0000141709],"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":[0.00001710376,0.00000398888,0.0008838382,0.00001731711,0.000004479544,0.00003183415,0.00002246007,0.0003476142,0.9972203,0.00002423425,0.00002067913,0.001406091],"study_design_scores_gemma":[0.000007563645,0.00008977173,0.09022246,0.00000735417,0.00003184061,0.0003467112,0.0001420988,0.01867447,0.8893683,0.0001129218,0.0009697031,0.00002685215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930664,0.0002399555,0.005869673,0.00002188821,0.00000657316,0.000007239756,0.0002572808,0.00005077753,0.0004801033],"genre_scores_gemma":[0.9927294,0.0001549782,0.006538755,0.00001121475,0.000004694204,0.00001061669,0.0001973999,0.00001441794,0.0003384397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001005501,"threshold_uncertainty_score":0.001999378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004142594570877672,"score_gpt":0.2067708946214238,"score_spread":0.2026283000505461,"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."}}