{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007656442,0.0009114832,0.001095884,0.001540657,0.0006067621,0.002209195,0.001402436,0.001780286,0.00863387],"category_scores_gemma":[0.002192348,0.0007475241,0.0008908326,0.001864746,0.0006186727,0.002614434,0.001969878,0.001247754,0.008188692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004714071,"about_ca_system_score_gemma":0.0008216054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004529995,"about_ca_topic_score_gemma":0.007226364,"domain_scores_codex":[0.9991248,0.0002407118,0.00002841428,0.0001909173,0.0003128242,0.000102372],"domain_scores_gemma":[0.9995219,0.00005430476,0.00005304856,0.0002172561,0.0001295508,0.00002404087],"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":[0.001103818,0.0004113419,0.002074877,0.0004674072,0.0003203787,0.0001900766,0.0001959779,0.05363262,0.1798544,0.01814228,0.03528298,0.7083238],"study_design_scores_gemma":[0.00006745302,0.0002417672,0.003743947,0.00007498602,0.0001389377,0.0007754535,0.0001677703,0.8345647,0.1161519,0.01107703,0.03292025,0.00007584346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01848347,0.001152186,0.9641113,0.0002822447,0.0002376319,0.0001101396,0.0004338448,0.005887044,0.009302073],"genre_scores_gemma":[0.3942113,0.001440717,0.5703139,0.0003499297,0.00008753208,0.0002117221,0.002913351,0.002531095,0.02794034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00863387,"threshold_uncertainty_score":0.02888322,"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."}}