{"id":"W7017952096","doi":"","title":"A comprehensive approach for evaluation of
\\nstereo correspondence solutions
\\nin outdoor augmented reality","year":2014,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Noise (video); Field (mathematics); Feature (linguistics); Context (archaeology); Matching (statistics)","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004549618,0.0006620972,0.001095711,0.002327563,0.002623572,0.0002788328,0.004901884,0.001073942,0.00002733961],"category_scores_gemma":[0.0006508371,0.0008483756,0.000649816,0.003431125,0.000710762,0.001195391,0.001127289,0.001352072,0.00003011655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002971716,"about_ca_system_score_gemma":0.004303262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004731993,"about_ca_topic_score_gemma":0.001181692,"domain_scores_codex":[0.9875916,0.004686424,0.0007881691,0.002096671,0.003661083,0.001176113],"domain_scores_gemma":[0.986637,0.001331384,0.001158579,0.002348615,0.007981592,0.0005428056],"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":[0.06828229,0.01133702,0.0004962169,0.009071175,0.00785308,0.0007613049,0.02251441,0.0494656,0.1202579,0.4315862,0.2310483,0.04732649],"study_design_scores_gemma":[0.04512117,0.003513415,0.004394933,0.001282006,0.004289175,0.00008040672,0.0340351,0.5089061,0.030299,0.005218559,0.3577624,0.005097835],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1386051,0.0002646397,0.6462439,0.0005354679,0.02291565,0.01656789,0.0008775092,0.0009870154,0.1730028],"genre_scores_gemma":[0.8632295,0.0002709501,0.00894188,0.00003095326,0.006764021,0.00008507113,0.006619793,0.0002090246,0.1138488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7246244,"threshold_uncertainty_score":0.9993967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08781042519640632,"score_gpt":0.3264395343131022,"score_spread":0.2386291091166959,"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."}}