{"id":"W4378605797","doi":"10.1353/cye.2003.0006","title":"Designing for PlayBarbara Hendricks","year":2003,"lang":"en","type":"article","venue":"Children Youth and Environments","topic":"Architecture and Computational Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Variety (cybernetics); Sociology; MAGIC (telescope); Computer science; History; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003936806,0.00009791623,0.00007397365,0.00002561233,0.00006993,0.00001142292,0.00003744035,0.00003609537,0.000009061671],"category_scores_gemma":[0.000004567913,0.00009451069,0.00002491393,0.00002097174,0.00001711069,0.00003400143,0.000005987283,0.00005226169,0.00001290589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001026598,"about_ca_system_score_gemma":0.000002111979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.08794e-7,"about_ca_topic_score_gemma":3.966144e-8,"domain_scores_codex":[0.9995869,0.000009007544,0.0000788259,0.0001148878,0.00005932448,0.0001510554],"domain_scores_gemma":[0.9998447,0.00002126083,0.000009187433,0.00006132398,7.92668e-7,0.00006279175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001119153,0.0002406205,0.190071,0.0001346342,0.001077092,0.000009695597,0.0195456,0.6155628,0.02184285,0.004790834,0.002783755,0.1438292],"study_design_scores_gemma":[0.008801469,0.0006664759,0.8662118,0.0001079034,0.0004978218,0.0001572245,0.0008545226,0.02034655,0.05997479,0.02423547,0.01498257,0.003163357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5063199,0.0005296626,0.4913676,0.000003094497,0.00006138023,0.0001763637,0.00001889926,0.00004448477,0.001478588],"genre_scores_gemma":[0.9924742,0.00002934977,0.007271433,0.00006077715,0.00003485863,0.00001312305,0.00003550194,0.00001925575,0.0000615028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6761408,"threshold_uncertainty_score":0.3854034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006964013371701162,"score_gpt":0.1636558092319232,"score_spread":0.1566917958602221,"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."}}