{"id":"W2156038892","doi":"10.1680/ijpmg.12.00005","title":"Enhancing accuracy and precision of transparent synthetic soil modelling","year":2012,"lang":"en","type":"article","venue":"International Journal of Physical Modelling in Geotechnics","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Photogrammetry; Particle image velocimetry; Displacement (psychology); Coplanarity; Pinhole (optics); Lens (geology); Pinhole camera model; Synthetic data; Computer science; Optics; Camera resectioning; Computer vision; Artificial intelligence; Geometry; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178332,0.0006534879,0.000533235,0.0009168385,0.0002407562,0.001344517,0.0009300901,0.0006272278,0.0007185452],"category_scores_gemma":[0.006657165,0.0004642668,0.0005073026,0.0007059783,0.0006243105,0.0008393663,0.001376705,0.0005582902,0.00027422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004689072,"about_ca_system_score_gemma":0.0007865739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003533463,"about_ca_topic_score_gemma":0.003042055,"domain_scores_codex":[0.9985269,0.0002108023,0.00009687952,0.0002297611,0.0008590465,0.0000764846],"domain_scores_gemma":[0.9966954,0.0009681536,0.0005458526,0.001174612,0.0005666882,0.00004932926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003207526,0.00006325259,0.005810106,0.0001837846,0.00006181481,0.0001947934,0.0002792374,0.7137895,0.169553,0.004576282,0.0004036648,0.1047638],"study_design_scores_gemma":[0.00001608949,0.00006835003,0.002912188,0.00001286434,0.00001490639,0.00009689331,0.00003914806,0.9586281,0.03604294,0.00109685,0.001035955,0.00003586341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2107306,0.00008132341,0.785513,0.00009332432,0.0000296902,0.00002894424,0.0001784245,0.001712281,0.001632384],"genre_scores_gemma":[0.8579855,0.00007854874,0.1410492,0.00001655278,0.000009278037,0.00001810626,0.0001936179,0.0001508948,0.0004983124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003533463,"threshold_uncertainty_score":0.007025778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023759852971783,"score_gpt":0.2510195573078969,"score_spread":0.2307819587781791,"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."}}