{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004840705,0.000854265,0.0004394433,0.0007572439,0.001963718,0.002707079,0.0004815905,0.0008506366,0.06588988],"category_scores_gemma":[0.000740368,0.000442147,0.0002823569,0.0006118914,0.000718813,0.002348033,0.001227783,0.001738748,0.02129773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009864951,"about_ca_system_score_gemma":0.0009032587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005633745,"about_ca_topic_score_gemma":0.01570103,"domain_scores_codex":[0.9997332,0.00007042028,0.00001271677,0.00005899577,0.0000944221,0.00003023584],"domain_scores_gemma":[0.9998546,0.00005086245,0.00001063844,0.00001064411,0.00004514711,0.00002807282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002294254,0.00005282714,0.0005637786,0.0003804417,0.000006166227,0.0002875868,0.005657974,0.0001319195,0.0009709348,0.02119406,0.8014199,0.1693115],"study_design_scores_gemma":[0.00000192796,0.00001401515,0.000549447,0.0003216235,0.000004723936,0.0003119899,0.001146229,0.00003352503,0.0001763769,0.001033205,0.9964024,0.000004480482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007782472,0.06423493,0.0134677,0.01364406,0.00508759,0.0002823313,0.0007918588,0.001509179,0.8931999],"genre_scores_gemma":[0.02686274,0.0373451,0.01546545,0.003379104,0.000319131,0.000218803,0.0005991119,0.0004602768,0.9153502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06588988,"threshold_uncertainty_score":0.2204236,"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."}}