{"id":"W2966451396","doi":"10.4324/9781351208079-6","title":"Sculpting with/in time","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Architecture and Art History Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003979207,0.0001949199,0.0002681992,0.000105083,0.0001729039,0.00002754918,0.00009799448,0.0000437109,0.01719861],"category_scores_gemma":[0.000001225737,0.000129618,0.00006458888,0.00000173466,0.0001647343,0.00003583562,0.00005410832,0.0001882802,0.004677207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002653837,"about_ca_system_score_gemma":0.00002401212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002433749,"about_ca_topic_score_gemma":0.002467291,"domain_scores_codex":[0.9994032,0.000003034191,0.0001318194,0.000193085,0.0001402477,0.0001286182],"domain_scores_gemma":[0.9997226,0.00003314905,0.00005760987,0.0001443968,0.00002521719,0.00001705458],"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":[0.00001711352,0.000007156249,0.00002491314,0.00004346272,0.00008397554,0.00002305718,0.01878068,0.000002382114,7.187375e-7,0.942791,0.03578332,0.002442153],"study_design_scores_gemma":[0.0001002971,0.00005688526,0.000004635777,0.000144213,0.00001819279,0.000001199106,0.0001005325,0.000001621617,3.808832e-7,0.001617739,0.9977347,0.0002196501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004985195,0.0004049494,0.000001642172,0.0001251376,0.0001202982,0.0001277459,0.000008430608,0.00005700576,0.9991049],"genre_scores_gemma":[0.001375751,0.000009725186,0.00003651114,0.0003306766,0.0004253653,0.000002088288,0.00001016969,0.00003745874,0.9977723],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9619513,"threshold_uncertainty_score":0.9960977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193274579524358,"score_gpt":0.169092856700945,"score_spread":0.1497653987485092,"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."}}