{"id":"W2058611086","doi":"10.1016/j.cviu.2003.07.001","title":"A volumetric approach for interactive 3D modeling","year":2003,"lang":"en","type":"article","venue":"Computer Vision and Image Understanding","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Computer science; Image registration; Computer vision; Range (aeronautics); Artificial intelligence; Surface reconstruction; Representation (politics); Matching (statistics); Surface (topology); Algorithm; Process (computing); Mathematics; Image (mathematics); Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001178621,0.0001207519,0.000135031,0.0001965398,0.0001201548,0.000164969,0.0000402612,0.0000459683,0.000004977464],"category_scores_gemma":[0.00001724688,0.0001146965,0.00004030067,0.0001834341,0.00001585099,0.0001963906,0.00001401632,0.00007819603,0.000001146997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163289,"about_ca_system_score_gemma":0.00000519533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001009199,"about_ca_topic_score_gemma":1.770488e-7,"domain_scores_codex":[0.9994122,0.00001916377,0.0001489378,0.0001768454,0.0000761299,0.0001667157],"domain_scores_gemma":[0.9997514,0.00004894269,0.00001724533,0.00008575502,0.00003511463,0.00006149879],"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":[0.00001468935,0.00003210956,0.00001536826,0.0001246418,0.00003417952,0.000001993517,0.0003412836,0.9833253,0.000871773,0.007881917,0.0008036859,0.00655303],"study_design_scores_gemma":[0.0004742293,0.00005764996,0.000002726156,0.00002875072,0.00001034832,0.00000698948,0.000267653,0.9977813,0.0001113027,0.0009785946,0.0001356421,0.0001447789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002054246,0.0001221742,0.995649,0.00000753906,0.00021902,0.0001725625,0.000001723633,0.0001013663,0.001672405],"genre_scores_gemma":[0.7412196,0.00003266351,0.2586314,0.00003470915,0.00003597663,0.000002751681,0.00001013765,0.00002186449,0.00001084966],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7391654,"threshold_uncertainty_score":0.4677188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0361106434153572,"score_gpt":0.2458339268577926,"score_spread":0.2097232834424353,"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."}}