{"id":"W2078505501","doi":"10.1007/s00138-007-0110-2","title":"Model-based view planning","year":2007,"lang":"en","type":"article","venue":"Machine Vision and Applications","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Computer vision; Fidelity; Artificial intelligence; Object (grammar); Range (aeronautics); Laser scanning; Sampling (signal processing); Class (philosophy); High fidelity; Laser; Optics; Engineering","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":[0.0002787188,0.00006784593,0.00006653654,0.00002993509,0.0002374259,0.00003314849,0.0000677315,0.00002839407,0.0002069643],"category_scores_gemma":[0.000004259459,0.00004688822,0.00001997345,0.0001334473,0.00002973521,0.0000445314,0.000004240739,0.0000717978,0.00007288656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001012996,"about_ca_system_score_gemma":0.000006690405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009783824,"about_ca_topic_score_gemma":0.0002557501,"domain_scores_codex":[0.9995349,0.00001241022,0.0001062454,0.0001409331,0.00008292719,0.0001225588],"domain_scores_gemma":[0.9997043,0.00006323155,0.00002385644,0.00009797268,0.00001308483,0.00009755174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001389777,0.00002200518,0.1515554,0.000017809,0.000002656024,0.000001598467,0.00006740358,0.008169411,0.0001831728,0.0005089254,0.0003613638,0.8390964],"study_design_scores_gemma":[0.0002111884,0.00004407829,0.3748325,0.00001923661,0.000006583872,0.000004479899,0.00005287076,0.5421934,0.00005685901,0.0008596602,0.08155098,0.0001682361],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4066231,0.006522321,0.5101669,0.0008848641,0.00007318473,0.0005501811,0.0001521011,0.0003145169,0.07471281],"genre_scores_gemma":[0.9962381,0.00001976794,0.00279117,0.0004630556,0.00003002047,0.000001959738,0.000133218,0.000001845273,0.0003209134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8389281,"threshold_uncertainty_score":0.2266114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253400679915649,"score_gpt":0.2927959396555226,"score_spread":0.2674558716639577,"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."}}