{"id":"W3097470628","doi":"10.36487/acg_repo/2035_10","title":"Rapid automated processing of structural orientation from time-of-flight LiDAR mapping","year":2020,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"RTDS Technologies (Canada)","funders":"Queen's University","keywords":"Lidar; Orientation (vector space); Remote sensing; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000184679,0.00007310828,0.0001315643,0.00003696086,0.00001765031,0.00001289356,0.00004880721,0.00004146841,0.000175035],"category_scores_gemma":[0.0000155054,0.00006787055,0.00002336303,0.0002207419,0.00001208921,0.00008924991,0.000007423219,0.00003423697,0.000008014788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001127139,"about_ca_system_score_gemma":0.00001095033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000143159,"about_ca_topic_score_gemma":4.799336e-7,"domain_scores_codex":[0.9994876,0.000009829336,0.0002368043,0.00008557014,0.0001065025,0.00007373662],"domain_scores_gemma":[0.9997857,0.00001508142,0.00004874433,0.00005695885,0.00005858226,0.00003494509],"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":[0.0000121825,0.000005545577,0.001225824,0.000269778,0.00004404775,0.00000149772,0.003233082,0.6164616,0.3704513,0.0001352637,0.0003662495,0.007793647],"study_design_scores_gemma":[0.0001619038,0.00001423298,0.001877822,0.00002728711,0.000008900486,1.531771e-7,0.0001157112,0.8672897,0.13036,0.00002299795,0.00005462138,0.00006673873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8304907,0.0001672355,0.1674422,0.00007119108,0.00008637593,0.0001029771,0.00001226801,0.0005569754,0.00107004],"genre_scores_gemma":[0.9871428,0.000003926471,0.01267944,0.00003032324,0.00003613551,5.671093e-7,0.00008482572,0.00001498037,0.000007031832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2508281,"threshold_uncertainty_score":0.2767681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013314602620147,"score_gpt":0.2087956895856431,"score_spread":0.1954810869654961,"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."}}