{"id":"W2518509804","doi":"10.1145/2806173.2806188","title":"sharedFace","year":2015,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Face (sociological concept); Computer science; Painting; Human–computer interaction; Computer vision; Artificial intelligence; Multimedia; Computer graphics (images); Visual arts; Art; Sociology","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":[0.0009052913,0.001281702,0.0007883906,0.0009334219,0.0009845007,0.002702439,0.002348697,0.00156197,0.2048905],"category_scores_gemma":[0.004090142,0.0006756964,0.000773988,0.0005675212,0.0004670624,0.004616986,0.006012443,0.001147788,0.1204975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005369447,"about_ca_system_score_gemma":0.0008079777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728609,"about_ca_topic_score_gemma":0.002247637,"domain_scores_codex":[0.998848,0.0001002268,0.00007485106,0.0002365977,0.0005615937,0.0001787269],"domain_scores_gemma":[0.9986092,0.0001807151,0.00004197616,0.0005309762,0.0004537931,0.0001832209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001088079,0.0002079663,0.002013551,0.0004226565,0.00006337059,0.0003993054,0.0005971558,0.001069296,0.01987906,0.02014978,0.5313877,0.4227221],"study_design_scores_gemma":[0.00008056346,0.0001585229,0.001219382,0.00009290793,0.00004014898,0.001069942,0.0001763808,0.009899256,0.01975398,0.009439452,0.9579795,0.00008995341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01272535,0.001403809,0.4153161,0.0009271232,0.001444417,0.000623322,0.00902147,0.2570508,0.3014875],"genre_scores_gemma":[0.1940931,0.001748713,0.1906936,0.002547315,0.0004630559,0.001347155,0.05075873,0.04036481,0.5179834],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2048905,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07526866297717275,"score_gpt":0.2860705433514905,"score_spread":0.2108018803743177,"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."}}