{"id":"W1144093454","doi":"","title":"Depth of Perception","year":2015,"lang":"en","type":"article","venue":"Comparative technology transfer and society","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Object (grammar); Visual arts; Perception; Representation (politics); Sociology; Space (punctuation); Presentation (obstetrics); Architecture; Situated; Aesthetics; Art; Media studies; Computer science; Psychology; Law; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001175407,0.0006196189,0.0003472187,0.001067997,0.005436611,0.01044048,0.0008855947,0.001991316,0.1323537],"category_scores_gemma":[0.003733635,0.0004029619,0.0004454184,0.001117559,0.009262853,0.006599325,0.005441672,0.002794456,0.01344262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01378955,"about_ca_system_score_gemma":0.008170785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1312279,"about_ca_topic_score_gemma":0.1800654,"domain_scores_codex":[0.998231,0.0003740423,0.00004843342,0.0002939408,0.0006920318,0.0003606803],"domain_scores_gemma":[0.9985448,0.0002285665,0.00006517961,0.0002115873,0.0006001947,0.0003496479],"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":[0.0000968587,0.00002280308,0.001087934,0.0003075394,0.000009358882,0.0002541972,0.04204059,0.00015912,0.002032884,0.3993943,0.424055,0.1305394],"study_design_scores_gemma":[0.000003492345,0.000007135017,0.001186533,0.0001855296,0.0000017871,0.0001050649,0.007939742,0.00003758917,0.0001234666,0.00980014,0.9805989,0.00001071336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002870311,0.003531271,0.003969957,0.009385938,0.001021454,0.00004723012,0.0004165745,0.0002166482,0.9785406],"genre_scores_gemma":[0.2324146,0.00783511,0.003603446,0.004506198,0.0005881566,0.0001116465,0.00049722,0.0005849416,0.7498587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1323537,"threshold_uncertainty_score":0.4427672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117071342737144,"score_gpt":0.2851035245642538,"score_spread":0.1680321818271097,"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."}}