{"id":"W2997253686","doi":"","title":"Sensitivity Assessment for Projector Camera Geometry Reconstruction Systems","year":2019,"lang":"en","type":"article","venue":"Journal of Computational Vision and Imaging Systems","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensitivity (control systems); Projector; Principal (computer security); Point (geometry); Computer vision; Mathematics; Artificial intelligence; Computer science; Geometry; Optics; Physics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001450459,0.0001110141,0.0002830611,0.0002643696,0.0000711127,0.0004871222,0.0001396432,0.00003127197,0.000001678403],"category_scores_gemma":[0.00004791356,0.00008329811,0.00007625829,0.0001340108,0.00002607435,0.0009159457,0.00003867535,0.0001353153,0.000002748674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009784252,"about_ca_system_score_gemma":0.0001191713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001604547,"about_ca_topic_score_gemma":1.111794e-7,"domain_scores_codex":[0.9986266,0.0001391071,0.0005043179,0.0001513374,0.0004472998,0.0001312703],"domain_scores_gemma":[0.9982483,0.0002903848,0.0004392022,0.000101079,0.0008469718,0.00007405712],"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":[0.0002991401,0.0007846488,0.1147288,0.002240899,0.0005513098,0.00004582127,0.001153922,0.04355978,0.08796734,0.4641609,0.01363595,0.2708715],"study_design_scores_gemma":[0.0005611091,0.0004288767,0.01065022,0.0006423853,0.00001027585,0.0007657759,0.0002212493,0.9845093,0.0001509691,0.001058469,0.0008585902,0.0001427403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.158699,0.0002655277,0.837543,0.0004428634,0.002080912,0.0003773014,0.000002801177,0.00003923505,0.000549456],"genre_scores_gemma":[0.9691666,0.0000072919,0.03058578,0.00004551379,0.0001433958,0.000004446626,0.000001179311,0.000005820933,0.00004000827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9409496,"threshold_uncertainty_score":0.4697331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178984451525875,"score_gpt":0.3073568121318725,"score_spread":0.289458366979285,"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."}}