{"id":"W4307041594","doi":"10.1162/leon_a_02318","title":"Diffractive Rendezvous","year":2022,"lang":"en","type":"article","venue":"Leonardo","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design; Université du Québec à Montréal","funders":"","keywords":"Documentation; Rendezvous; Word (group theory); Computer science; Linguistics; Through-the-lens metering; History; Visual arts; Lens (geology); Art; Optics; Engineering; Philosophy; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009488459,0.00008788866,0.0000960738,0.00005170516,0.000880015,0.0002601677,0.0001962492,0.000008474081,0.02227913],"category_scores_gemma":[0.000009544719,0.00008481514,0.00007745958,0.00001879772,0.00008924557,0.0002937602,0.0001403833,0.0002262387,0.0001770895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006056639,"about_ca_system_score_gemma":0.00001746316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008938462,"about_ca_topic_score_gemma":0.0001519341,"domain_scores_codex":[0.9992595,0.00003714685,0.0001102961,0.0001498278,0.0002530834,0.0001901316],"domain_scores_gemma":[0.9996916,0.00004246722,0.00004325923,0.0001540127,0.00002970345,0.00003896716],"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":[0.00002506504,0.00007883164,0.00005456155,0.000003313045,0.00001874894,0.00003620537,0.01677474,0.00001131371,0.00000559972,0.9586173,0.01832948,0.006044867],"study_design_scores_gemma":[0.0001297275,0.000121623,0.0001369515,0.000001577171,0.000006038214,0.000009102519,0.03712371,0.000005055745,0.000006267943,0.01865007,0.9436836,0.0001262601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09738724,0.0001634788,0.000001929064,0.001193915,0.000811539,0.00008141348,0.0001167919,0.0001103328,0.9001334],"genre_scores_gemma":[0.8548517,0.000001621177,0.000006073601,0.001100534,0.0003350688,0.00004478554,0.00002603463,0.0000147257,0.1436194],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9399672,"threshold_uncertainty_score":0.9786146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03986961137892601,"score_gpt":0.2150689337375688,"score_spread":0.1751993223586428,"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."}}