{"id":"W4386076440","doi":"10.1109/cvpr52729.2023.01591","title":"pCON: Polarimetric Coordinate Networks for Neural Scene Representations","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Virtual Materials Group","keywords":"Computer science; Polarimetry; Artificial intelligence; Computer vision; Artificial neural network; Coordinate system; Code (set theory); Polar coordinate system; Pattern recognition (psychology); Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004375181,0.001181882,0.0005289332,0.0006244167,0.0004185082,0.001166292,0.001910889,0.0009011904,0.00862793],"category_scores_gemma":[0.002061848,0.0005465908,0.0006004091,0.001122172,0.0005858777,0.001945563,0.001585522,0.001972713,0.003630591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009591047,"about_ca_system_score_gemma":0.0008683656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008959022,"about_ca_topic_score_gemma":0.01019031,"domain_scores_codex":[0.9997392,0.00004856265,0.00001193632,0.00008211309,0.00009259408,0.00002561697],"domain_scores_gemma":[0.999692,0.00007450421,0.00002544612,0.00009423091,0.0000913496,0.00002236437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002638403,0.00006054266,0.0008277572,0.0003204665,0.00009272762,0.0001355685,0.00009036768,0.4192561,0.01403359,0.09752055,0.05127819,0.4161203],"study_design_scores_gemma":[0.00001482195,0.00001575294,0.0001027121,0.00001099179,0.000007559928,0.00003369018,0.000006910491,0.9612902,0.003959308,0.02605487,0.008493029,0.00001014381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002097705,0.0001648079,0.9901503,0.0001366871,0.00006842472,0.0000313804,0.000702487,0.004495024,0.002153149],"genre_scores_gemma":[0.1346996,0.000852689,0.8452969,0.0002669976,0.0001231799,0.0005231883,0.005344942,0.001767654,0.01112494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008959022,"threshold_uncertainty_score":0.02886325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03704871283244845,"score_gpt":0.3411968113390136,"score_spread":0.3041480985065651,"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."}}