{"id":"W160324086","doi":"","title":"Model Based Blobal Image Registration.","year":2008,"lang":"en","type":"article","venue":"International Conference on Computer Vision Theory and Applications","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Image registration; Computer vision; Computer science; Artificial intelligence; 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":[0.0002453606,0.0001338145,0.0001139622,0.0001474306,0.0002798559,0.0002105175,0.0006040639,0.00004825696,0.0001164406],"category_scores_gemma":[0.00001165731,0.0001232262,0.00007340838,0.0001747889,0.0001303641,0.0003557856,0.0001054328,0.0001171194,0.0001497612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002154264,"about_ca_system_score_gemma":0.00008092233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001786549,"about_ca_topic_score_gemma":0.000001089362,"domain_scores_codex":[0.9988731,0.00007909063,0.0002256472,0.0004181494,0.0002849098,0.0001191684],"domain_scores_gemma":[0.9990503,0.0001312458,0.0001016043,0.0003418137,0.0002710243,0.0001040476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001306098,0.0001229187,0.00001064638,0.000002102015,0.00001358732,0.000003608148,0.00003798804,0.0008852077,0.0005784458,0.9498227,0.0007625881,0.0477472],"study_design_scores_gemma":[0.0002527614,0.00004572749,0.0001591339,0.00001734751,0.000004359927,0.00002120637,0.000007848479,0.8813711,0.0003342582,0.1148667,0.002778698,0.0001408722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001541098,0.000009520332,0.9764637,0.003304618,0.00006421622,0.0001296726,0.00002141634,0.0001362379,0.01832955],"genre_scores_gemma":[0.9040021,0.0000658147,0.09273597,0.001947544,0.0001052429,0.00007781211,0.00004574678,0.000006104746,0.001013639],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9024611,"threshold_uncertainty_score":0.5025017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036183311290629,"score_gpt":0.3064226842348822,"score_spread":0.2702393729442532,"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."}}