{"id":"W4288032827","doi":"10.1145/3532723.3535469","title":"Light & Shadow AR App","year":2022,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kwantlen Polytechnic University","funders":"","keywords":"Studio; Shadow (psychology); Augmented reality; Photography; Computer science; Computer graphics (images); Portrait; Multimedia; Visual arts; Human–computer interaction; Art; Psychology","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":[0.0001517428,0.0000501865,0.00005103177,0.00004619362,0.000281708,0.0000453035,0.0009409055,0.00001113158,0.0006120944],"category_scores_gemma":[0.000004538741,0.00004819373,0.00003178665,0.0004217345,0.000007993948,0.0001034578,0.0007407304,0.0001053244,0.0005450739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005176289,"about_ca_system_score_gemma":0.00003365707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005628739,"about_ca_topic_score_gemma":0.00002956751,"domain_scores_codex":[0.99927,0.00003391405,0.0001000867,0.0002325385,0.0002279468,0.0001355191],"domain_scores_gemma":[0.999212,0.00002316098,0.0000314986,0.0006660721,0.00001564417,0.00005159443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.273549e-7,0.0001000163,0.00004060892,0.000001718797,0.000007860481,0.000001428553,0.0003758701,0.0006172116,0.001587235,0.8689057,0.1209194,0.007442439],"study_design_scores_gemma":[0.00007514757,0.00001201059,0.0001526119,4.144528e-7,0.000001603579,0.00001578509,0.00003517454,0.01181722,0.0005763075,0.01320318,0.97402,0.00009056275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002931331,0.0000241261,0.8861293,0.01690566,0.0000936687,0.0001192352,0.000002262454,0.000352001,0.09608058],"genre_scores_gemma":[0.8254955,0.000008303139,0.1069397,0.007898295,0.0001021942,0.0006819422,0.00002782653,0.00001881143,0.05882743],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8557025,"threshold_uncertainty_score":0.7006005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881358166068258,"score_gpt":0.2500219047262685,"score_spread":0.2312083230655859,"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."}}