{"id":"W1979059129","doi":"10.1162/leon.2010.43.3.243","title":"Re-Animating Greg Lynn's Embryological House: A Case Study in Digital Design Preservation","year":2010,"lang":"en","type":"article","venue":"Leonardo","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Beekeepers' Association","funders":"","keywords":"Architecture; Context (archaeology); Documentation; Artifact (error); Visual arts; Computer science; Subject (documents); Art history; Art; Library science; History; Archaeology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005749126,0.000117587,0.0001399969,0.00003530381,0.0001502146,0.000160505,0.0001520301,0.00008005429,0.0004440852],"category_scores_gemma":[0.0002863904,0.00008459996,0.00003047445,0.000197562,0.00003679311,0.0005265704,0.00001455168,0.0002883176,0.0001437986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000262743,"about_ca_system_score_gemma":0.00001774414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002472019,"about_ca_topic_score_gemma":0.03121005,"domain_scores_codex":[0.9989884,0.0001185542,0.0002049717,0.0002516456,0.0001911695,0.0002452323],"domain_scores_gemma":[0.9994154,0.000294324,0.0000493763,0.0001350869,0.00002898078,0.00007685158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003050714,0.00006018021,0.9755033,0.000004810656,0.000004903997,0.001996646,0.001466506,0.000557636,0.00005289403,0.000006694358,0.0001283615,0.02018754],"study_design_scores_gemma":[0.0003924714,0.0003810048,0.9757718,0.000008230693,0.000004799882,0.0003831839,0.01322655,0.009245421,0.000009572806,0.0002181445,0.0001558762,0.0002029181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978144,0.000034958,0.00007626234,0.0001595981,0.0001444517,0.0002951836,0.00001212404,0.000127339,0.001335755],"genre_scores_gemma":[0.9988319,8.847207e-7,0.0007913986,0.00005586977,0.0000753554,0.000003851721,0.00001260087,0.000004362306,0.000223809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02873803,"threshold_uncertainty_score":0.9864678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06111119271125683,"score_gpt":0.2629061293781783,"score_spread":0.2017949366669214,"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."}}