{"id":"W2128561156","doi":"10.1046/j.1365-2818.2002.01056.x","title":"On the influence of imaging conditions and algorithms on the quantification of surface topography","year":2002,"lang":"en","type":"article","venue":"Journal of Microscopy","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Magnification; Fractal dimension; Surface (topology); Voxel; Fractal; Materials science; Optics; Dimension (graph theory); Geometry; Algorithm; Computer science; Mathematics; Physics; Artificial intelligence; Mathematical analysis","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":[0.0003500275,0.00006655581,0.0001200581,0.00004009758,0.00005497592,0.00001710203,0.0001160429,0.00001948101,0.00003818875],"category_scores_gemma":[0.00008112496,0.00003788302,0.00005133252,0.0001310196,0.00009019987,0.00006549925,0.000006236491,0.0001487317,0.000002858805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000113666,"about_ca_system_score_gemma":0.000003683084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003608314,"about_ca_topic_score_gemma":3.709932e-7,"domain_scores_codex":[0.9993945,0.00003585706,0.0002589339,0.00004427201,0.0001797254,0.00008674695],"domain_scores_gemma":[0.9993015,0.0003066345,0.0001308139,0.000124534,0.0001126701,0.00002384419],"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":[0.00001480046,0.00008223467,0.004799145,0.00003465942,0.00006558269,0.000001176239,0.0003465876,0.05158573,0.9399163,0.001639581,0.00111414,0.0004000465],"study_design_scores_gemma":[0.0005889792,0.0002151659,0.08672428,0.0007801112,0.00006906905,0.00001446338,0.0005681263,0.01444551,0.8945562,0.001366219,0.0005037631,0.0001680997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979168,0.000617573,0.0005555071,0.0005533773,0.0001037761,0.00006638797,0.000009796458,0.000004273068,0.0001725472],"genre_scores_gemma":[0.9991437,0.000262139,0.0005191063,0.00005371124,0.000009530931,6.780953e-7,1.470979e-7,0.000006947978,0.000004043287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08192514,"threshold_uncertainty_score":0.1544825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154261975366558,"score_gpt":0.2493769399684419,"score_spread":0.2278343202147763,"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."}}