{"id":"W4247689068","doi":"10.4324/9780203713884","title":"Making Representations","year":2012,"lang":"en","type":"book","venue":"","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002820108,0.0001201377,0.000122362,0.00002749509,0.0001866426,0.0001451117,0.00008971324,0.0000595518,0.1574588],"category_scores_gemma":[0.000002056187,0.00008467292,0.00009592656,0.000002883427,0.00006846806,0.0001379346,0.00003383965,0.0001256005,0.002297955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002736163,"about_ca_system_score_gemma":0.00002296961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004050864,"about_ca_topic_score_gemma":0.0007932844,"domain_scores_codex":[0.999506,0.000005729564,0.0001312979,0.0001139529,0.0001068735,0.0001361758],"domain_scores_gemma":[0.9996899,0.00001515272,0.0000593611,0.000161903,0.00004382299,0.000029893],"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":[3.327594e-7,0.00000340612,4.572768e-7,0.0000132635,0.00001189353,8.203665e-7,0.003568576,1.732853e-8,2.241259e-7,0.5603803,0.4348572,0.001163467],"study_design_scores_gemma":[0.00002516229,0.000005055491,0.000004336606,0.00003716473,0.0000264637,0.000001127072,0.0007231653,9.86116e-7,2.45359e-7,0.004585559,0.9944494,0.0001413722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000239768,0.0003551486,0.000003715071,0.00008254382,0.0007285001,0.00009490756,0.00003124536,0.0001003009,0.9986013],"genre_scores_gemma":[0.0009046425,0.00001159623,0.00005672373,0.0003647585,0.003321615,0.000009961888,0.0001072864,0.00002289279,0.9952005],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5595921,"threshold_uncertainty_score":0.9984789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744392770621732,"score_gpt":0.3023909166938901,"score_spread":0.1279516396317169,"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."}}