{"id":"W4412942129","doi":"10.1007/979-8-8688-1557-7_4","title":"Exploring the Workspace of Fresco and Its Tools: Part 2","year":2025,"lang":"en","type":"book-chapter","venue":"Apress eBooks","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Delta-Q Technologies (Canada)","funders":"","keywords":"Fresco; Workspace; Computer science; Artificial intelligence; Art; Visual arts; Robot","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148371,0.0006882531,0.00036951,0.0016863,0.002084917,0.006177473,0.0007074704,0.0009738856,0.04241273],"category_scores_gemma":[0.001072231,0.0003756778,0.000486802,0.001780485,0.001298991,0.004792244,0.002312778,0.001216845,0.008391504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805271,"about_ca_system_score_gemma":0.001784873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005906145,"about_ca_topic_score_gemma":0.0152552,"domain_scores_codex":[0.9996543,0.0001001584,0.00001332182,0.00004770409,0.0001347968,0.00004969437],"domain_scores_gemma":[0.9997593,0.0001065657,0.000007527231,0.00003569384,0.00005380893,0.00003718658],"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":[0.00005049632,0.00005997525,0.0002369081,0.0007857549,0.000006339142,0.0004215977,0.01442025,0.001640048,0.003252868,0.4542177,0.1716408,0.3532673],"study_design_scores_gemma":[0.000002716518,0.000007266979,0.0001759671,0.000296181,0.000002168203,0.0003329325,0.001003266,0.0003974644,0.000449456,0.01312569,0.9841967,0.00001017533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007204871,0.0124889,0.06749508,0.001481042,0.000534736,0.0001177809,0.0003760556,0.00184343,0.9084581],"genre_scores_gemma":[0.08426718,0.01569243,0.1126609,0.001270236,0.0002327096,0.0003710739,0.001204945,0.00261821,0.7816823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04241273,"threshold_uncertainty_score":0.1418847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08146525486474294,"score_gpt":0.2082527961945816,"score_spread":0.1267875413298387,"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."}}