{"id":"W2140256643","doi":"10.1109/robot.2002.1013608","title":"A comparative analysis of geometric and image-based volumetric and intensity data registration algorithms","year":2003,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Image registration; Computer science; Computer vision; Artificial intelligence; Algorithm; Image (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":[0.0001927445,0.0000832978,0.0002557196,0.0007936974,0.00002795723,0.00003558899,0.00005066584,0.00003848963,0.00001963504],"category_scores_gemma":[0.0001202204,0.00007910522,0.00001902363,0.002736599,0.00004685942,0.0001141427,0.00001253577,0.0000463104,6.519851e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508459,"about_ca_system_score_gemma":0.000009520985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001434,"about_ca_topic_score_gemma":0.00006301006,"domain_scores_codex":[0.9994253,0.00002357334,0.0001895709,0.0001678842,0.0001107525,0.00008292491],"domain_scores_gemma":[0.99945,0.00008572185,0.00004031459,0.0002608018,0.0001165499,0.00004667018],"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":[0.00002724695,0.0001580006,0.05903538,0.0001982035,0.001533595,0.00000761788,0.0002252996,0.9237459,0.004025319,0.001774926,0.002893467,0.006375045],"study_design_scores_gemma":[0.0001923566,0.00002531657,0.03164072,0.000002790743,0.0002748152,8.488061e-7,0.00006630107,0.9652341,0.002375311,0.00001270999,0.00008913846,0.00008559259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1595225,0.0002868635,0.8390579,0.00001167541,0.00002623594,0.00007674081,0.00002600851,0.00003390552,0.000958161],"genre_scores_gemma":[0.9726883,0.00005599194,0.02704907,0.00001443813,0.000003769252,6.59567e-7,0.0001599653,0.000004607987,0.00002324519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8131658,"threshold_uncertainty_score":0.3225817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429041932350025,"score_gpt":0.2652966621270924,"score_spread":0.2223924688920899,"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."}}