{"id":"W2171369376","doi":"10.1109/3dtv.2009.5069628","title":"Integrating 3D point clouds with multi-viewpoint video","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Point cloud; Computer science; Computer vision; Point (geometry); Artificial intelligence; View synthesis; Computer graphics (images); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001707956,0.0001379672,0.0001401764,0.00005805683,0.0001186758,0.0001389064,0.000448743,0.00001988599,0.00003924231],"category_scores_gemma":[0.00004985621,0.00008777831,0.0000376684,0.0002912977,0.00002474484,0.0007255086,0.00009688178,0.0001624674,0.00008077582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003166433,"about_ca_system_score_gemma":0.00003295395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001127417,"about_ca_topic_score_gemma":0.000008419992,"domain_scores_codex":[0.9990065,0.00002678502,0.0001928141,0.0003384214,0.0001786522,0.0002568622],"domain_scores_gemma":[0.9992986,0.00003278912,0.00006180273,0.0004289147,0.00007526588,0.0001026675],"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":[0.000004699613,0.00006944106,0.00008484726,0.000002626557,0.000003353584,0.00002184534,0.0005682491,0.000101878,0.002538975,0.06294504,0.0005707283,0.9330883],"study_design_scores_gemma":[0.0008285865,0.0003287487,0.001958765,0.0001249242,0.000002881313,0.00008640331,0.0002024838,0.9755799,0.006740723,0.004953242,0.008822526,0.000370864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003270857,0.00007466094,0.9814402,0.004653352,0.00008302028,0.00009412011,1.16888e-7,0.0003249565,0.01300252],"genre_scores_gemma":[0.1461075,0.000007768969,0.8456504,0.007553537,0.00002475756,0.000002139272,3.709316e-7,0.000004956909,0.0006484952],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.975478,"threshold_uncertainty_score":0.3579496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478149263872192,"score_gpt":0.2827518356542005,"score_spread":0.2679703430154786,"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."}}