{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02961657,0.002686661,0.001760728,0.01388545,0.002063587,0.006969638,0.003307367,0.002353711,0.006979965],"category_scores_gemma":[0.03802956,0.0006265088,0.001688997,0.006865716,0.001811458,0.004902518,0.006622114,0.001630008,0.002288221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00425664,"about_ca_system_score_gemma":0.005569949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006058136,"about_ca_topic_score_gemma":0.01054156,"domain_scores_codex":[0.9413877,0.02096827,0.005698845,0.003549503,0.02715347,0.001242158],"domain_scores_gemma":[0.9652658,0.006887281,0.002393691,0.004709523,0.01977204,0.00097168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005018046,0.001531013,0.01207133,0.004057823,0.0006135512,0.0002214539,0.001008216,0.02792673,0.02106076,0.05200562,0.03248573,0.846516],"study_design_scores_gemma":[0.0003258461,0.006104132,0.04614605,0.007588945,0.001149313,0.001421738,0.0088796,0.4209797,0.09688521,0.05289185,0.3568457,0.0007818654],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06048887,0.01012264,0.8146982,0.00154275,0.0007815587,0.005485573,0.005747351,0.005800321,0.09533265],"genre_scores_gemma":[0.1773875,0.003464215,0.7944025,0.0004441423,0.0001102505,0.003919211,0.009826883,0.0005967933,0.009848513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02961657,"threshold_uncertainty_score":0.1566293,"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."}}