{"id":"W2108983754","doi":"10.1109/igarss.2005.1525325","title":"Camera stability analysis and geo-referencing","year":2005,"lang":"en","type":"article","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computer graphics (images); Stability (learning theory); Computer vision; Artificial intelligence","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":[0.0001056497,0.0000800927,0.0001198765,0.0000955442,0.0000329109,0.00005509545,0.00004096234,0.00003541811,0.0003399761],"category_scores_gemma":[0.00001205428,0.00007092975,0.00003629254,0.0004061506,0.00001826309,0.00008994193,0.00001051999,0.00008431359,0.00001569006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002335441,"about_ca_system_score_gemma":0.000005131945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002072601,"about_ca_topic_score_gemma":0.0004010934,"domain_scores_codex":[0.9995587,0.000007644854,0.0001121743,0.0001169223,0.00006249513,0.0001420881],"domain_scores_gemma":[0.9997423,0.00004015773,0.000007513358,0.0001273373,0.00002048938,0.00006223134],"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":[0.000003473205,0.00002159088,0.06287817,0.00008300608,0.000313565,0.000001242209,0.000760277,0.002335331,0.009891205,0.00002393859,0.0001210261,0.9235672],"study_design_scores_gemma":[0.0003304141,0.00001865241,0.06755755,0.00001266828,0.0005175793,0.000008308102,0.0006542143,0.6744009,0.2389381,0.0001524424,0.01679892,0.0006102085],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297939,0.001211088,0.05443002,0.00002631428,0.00002381247,0.00002736977,0.00000281494,0.0003284038,0.01415629],"genre_scores_gemma":[0.9873507,0.00007351512,0.01238835,0.00005834279,0.00003802861,0.000002484957,0.000004203195,0.000007984157,0.00007638963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9229569,"threshold_uncertainty_score":0.37225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219785290684227,"score_gpt":0.2184301886948005,"score_spread":0.2062323357879582,"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."}}