{"id":"W2772834933","doi":"10.1109/iros.2017.8202306","title":"Anisotropic shadow-based operation assistant for a pipeline-inspection robot using a single illuminator and camera","year":2017,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Shadow (psychology); Robot; Orientation (vector space); Computer vision; Shadow mask; Pipeline (software); Artificial intelligence; Bent molecular geometry; Computer science; Position (finance); Optics; Engineering; Computer graphics (images); Physics; Geometry; Structural engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006543802,0.0001237625,0.0001331436,0.00006167695,0.0004077714,0.0002703882,0.00005831003,0.0000735717,0.0000123828],"category_scores_gemma":[0.00004832405,0.0001209726,0.0000352484,0.00003089685,0.00003804694,0.0001888036,0.000009149659,0.00004407645,0.000001801935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078394,"about_ca_system_score_gemma":0.0000196452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255365,"about_ca_topic_score_gemma":0.0002801259,"domain_scores_codex":[0.9994087,0.000009387774,0.0001743159,0.0001676836,0.00008523647,0.0001546335],"domain_scores_gemma":[0.9995851,0.00001795528,0.00004594585,0.0002150444,0.00008016523,0.00005577063],"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":[0.00002646435,0.00004803239,0.0007751561,0.0001133452,0.0000163449,0.000002938043,0.00007413384,0.8228115,0.1707907,0.001884337,0.0002345002,0.003222546],"study_design_scores_gemma":[0.0006251971,0.00006187933,0.001032745,0.00002757731,0.00002536027,0.000002315555,0.00004070908,0.9693651,0.02829375,0.00004347591,0.0003231538,0.0001587346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1554868,0.00003598117,0.8433428,0.0001171724,0.0002475296,0.0002343628,0.000007067244,0.000167853,0.0003604686],"genre_scores_gemma":[0.9716849,0.000007414528,0.02802345,0.00005090217,0.0001076451,0.000009720942,0.0000210341,0.00003214487,0.00006273412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8161982,"threshold_uncertainty_score":0.4933119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03355806023527068,"score_gpt":0.2565901599958659,"score_spread":0.2230320997605952,"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."}}