{"id":"W4399723127","doi":"10.32920/26052604","title":"Art of the Moment: 3D Scanning, Digital Media and Meaning Through Making","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Meaning (existential); Moment (physics); Digital media; Aesthetics; Art; Visual arts; Computer science; Epistemology; World Wide Web; Physics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004073291,0.000149124,0.0001472249,0.00004247696,0.00002286098,0.00007433041,0.0001385099,0.00007040935,0.00002596348],"category_scores_gemma":[0.000009180097,0.0001036553,0.00006513917,0.00006844162,0.00003536573,0.00003072821,0.0005362335,0.0003380731,0.00001225056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002136342,"about_ca_system_score_gemma":0.00002132597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002112174,"about_ca_topic_score_gemma":0.000003134444,"domain_scores_codex":[0.9993781,0.000007023875,0.0001692434,0.0001570654,0.0001851985,0.0001033839],"domain_scores_gemma":[0.9997324,0.00006945919,0.000027082,0.000140269,0.0000154229,0.00001535934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004227044,0.000007910107,0.0001533325,0.0008679308,0.0003734743,0.00001095317,0.01012797,0.8936528,0.00009905506,0.05248472,0.008607299,0.03361031],"study_design_scores_gemma":[0.000109176,0.00001269982,0.0006976302,0.001485707,0.00009642597,0.00003180805,0.00009797543,0.2430369,0.0006779277,0.7428305,0.01047937,0.0004439744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01849737,0.002590855,0.2866754,0.0003517346,0.001515349,0.0003224818,0.00006691904,0.000468042,0.6895119],"genre_scores_gemma":[0.9951026,0.00001472607,0.004285037,0.00004045544,0.0001217539,0.00000774312,0.00001097446,0.00003031304,0.0003864419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9766052,"threshold_uncertainty_score":0.4226939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368683548482972,"score_gpt":0.2240338320280226,"score_spread":0.2103469965431929,"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."}}