{"id":"W2203229729","doi":"10.4000/abe.87","title":"Designing a Better Textbook","year":2012,"lang":"en","type":"article","venue":"ABE Journal","topic":"Architecture, Design, and Social History","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architecture; Perspective (graphical); Accreditation; Computer science; History of architecture; Canon; Sociology; Engineering ethics; Engineering; History; Political science; Literature; Artificial intelligence; Archaeology; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003246007,0.00009251711,0.0001112065,0.00006716359,0.0009298807,0.00008682479,0.0001032741,0.00003300536,0.003762476],"category_scores_gemma":[0.00001387726,0.00007305291,0.0001020753,0.000009686909,0.0001414161,0.0002849846,0.00001325061,0.0003161432,0.0003482456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005901408,"about_ca_system_score_gemma":0.00003504501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001435182,"about_ca_topic_score_gemma":0.00002469124,"domain_scores_codex":[0.9992315,0.00008037538,0.0001535559,0.00005433913,0.0001676655,0.000312587],"domain_scores_gemma":[0.9996227,0.00004955866,0.00008266865,0.00006472231,0.00004125533,0.0001390951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000035459,0.0001373965,0.003219718,0.00001805296,0.0001380454,0.00003656878,0.5781093,0.000002549281,0.001579435,0.05104257,0.3214651,0.04421578],"study_design_scores_gemma":[0.0001643552,0.00004069206,0.0005192389,0.00001961051,0.00002398484,0.00005167829,0.002036323,0.000001536233,0.0001081875,0.004299318,0.9925949,0.0001401734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1738074,0.005362236,0.007771744,0.0007420053,0.004414646,0.0001810427,0.000005613863,0.0001365631,0.8075787],"genre_scores_gemma":[0.9647717,0.00001805526,0.001185406,0.002172272,0.009673174,0.000003140466,8.546699e-7,0.00002403566,0.02215134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7909643,"threshold_uncertainty_score":0.9971482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668450982211005,"score_gpt":0.2237041495705115,"score_spread":0.1870196397484014,"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."}}