{"id":"W2071630209","doi":"10.1145/2677199.2680559","title":"Mapping Place","year":2015,"lang":"en","type":"article","venue":"","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Visitor pattern; Exhibition; Computer science; Context (archaeology); Process (computing); Human–computer interaction; Embodied cognition; Multimedia; Visual arts; Art; Artificial intelligence; History","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003733469,0.0004356221,0.0001924551,0.001345463,0.001769054,0.003970088,0.0006930977,0.0007619826,0.06796499],"category_scores_gemma":[0.001278893,0.0002203324,0.0003993616,0.001671084,0.001069282,0.003786226,0.003442243,0.0006691738,0.01227234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000487353,"about_ca_system_score_gemma":0.000919785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00389375,"about_ca_topic_score_gemma":0.009967789,"domain_scores_codex":[0.9996333,0.00007889308,0.00001795831,0.0000773524,0.0001455888,0.00004678507],"domain_scores_gemma":[0.9996369,0.00006503444,0.00002834368,0.0001354197,0.00006380869,0.00007051026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001396214,0.00006338374,0.00728135,0.0008597549,0.00003846292,0.0009454923,0.01482683,0.001324417,0.009902478,0.2391106,0.06779648,0.657711],"study_design_scores_gemma":[0.000008258783,0.0000401352,0.003848189,0.0001462746,0.00001137117,0.0006249755,0.005971136,0.0004172503,0.002064812,0.01091499,0.97593,0.00002266508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03614255,0.001961956,0.08675272,0.002098606,0.0008336849,0.0002084056,0.001982252,0.00222212,0.8677977],"genre_scores_gemma":[0.5362045,0.003470286,0.1287231,0.0006504358,0.00020961,0.0002892806,0.003239312,0.0007882382,0.3264253],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06796499,"threshold_uncertainty_score":0.2273656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193169495235915,"score_gpt":0.2290271975789064,"score_spread":0.1097102480553149,"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."}}