{"id":"W2086753299","doi":"10.1016/j.ijrmms.2014.09.016","title":"Visual enhancement of 3D images of rock faces for fracture mapping","year":2014,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Point cloud; Polygon mesh; Decimation; Delaunay triangulation; Surface reconstruction; Poisson distribution; Computer vision; Algorithm; Computer science; Face (sociological concept); Triangle mesh; Artificial intelligence; Point (geometry); Triangulation; Noise (video); Surface (topology); Geometry; Mathematics; Computer graphics (images); Image (mathematics)","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":[0.0003261114,0.0007513153,0.0003060306,0.001449518,0.0001600678,0.000746594,0.0003632125,0.000641865,0.007735534],"category_scores_gemma":[0.0008428439,0.0003362279,0.0004925806,0.0006004428,0.0001794287,0.0005250333,0.0007023283,0.0007458449,0.001237203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375381,"about_ca_system_score_gemma":0.0003580007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164936,"about_ca_topic_score_gemma":0.002521893,"domain_scores_codex":[0.9998344,0.00001504322,0.000006055259,0.00001878336,0.00009059632,0.00003503221],"domain_scores_gemma":[0.9995989,0.0001094088,0.0000326785,0.00004939235,0.0001685058,0.00004115354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001007338,0.0001864179,0.002330491,0.00131316,0.00008990616,0.0007308599,0.0002589936,0.01793343,0.5531358,0.001699576,0.01867707,0.4026369],"study_design_scores_gemma":[0.000257712,0.0006536074,0.06001243,0.0004710856,0.000388138,0.004981092,0.0006837072,0.4206891,0.4342385,0.005490741,0.07186253,0.0002713905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2879215,0.002477753,0.669957,0.001604872,0.0007368693,0.0005534893,0.005365164,0.009707577,0.02167566],"genre_scores_gemma":[0.5322511,0.00237821,0.4523379,0.000542333,0.0003598721,0.000175231,0.002759673,0.001144459,0.008051215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007735534,"threshold_uncertainty_score":0.02587789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127709444492344,"score_gpt":0.270976990043887,"score_spread":0.2496998955989636,"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."}}