{"id":"W2552787576","doi":"10.1093/llc/fqw048","title":"Whatever happened to interchange?","year":2016,"lang":"en","type":"article","venue":"Digital Scholarship in the Humanities","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Interoperability; XML; Encoding (memory); Computer science; Work (physics); World Wide Web; Knowledge management; Engineering; Artificial intelligence","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007242382,0.0003651844,0.0002884025,0.0003367396,0.000604274,0.009000933,0.001304505,0.00006421617,0.002558107],"category_scores_gemma":[0.0003108912,0.0002044005,0.0001729515,0.00009173494,0.0006534363,0.006179383,0.0002610923,0.0003090922,0.002435708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337328,"about_ca_system_score_gemma":0.00003513489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004841198,"about_ca_topic_score_gemma":0.002843859,"domain_scores_codex":[0.9977069,0.0001181647,0.0004700533,0.0004099351,0.0005858938,0.0007089999],"domain_scores_gemma":[0.9986838,0.0004217029,0.00008577993,0.0005554036,0.0001645004,0.00008878689],"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":[0.00008972151,0.0001461699,0.001520973,0.00002187652,0.00002745633,0.000050731,0.06609282,2.506705e-7,0.00002120538,0.9050753,0.003966516,0.02298703],"study_design_scores_gemma":[0.0004623796,0.0002755441,0.003021356,0.0003219335,0.000009672258,0.00001518005,0.02078607,1.5545e-7,0.00006855921,0.08521589,0.88931,0.0005132827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5346174,0.0001237656,0.00000721064,0.00157138,0.0004968824,0.0003602444,0.0001603313,0.0001358112,0.462527],"genre_scores_gemma":[0.9187022,0.000006784192,0.000004999999,0.00520768,0.0006240283,0.0001212213,0.00001957778,0.00004988206,0.07526359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8853434,"threshold_uncertainty_score":0.9983537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092174743596551,"score_gpt":0.2544134025957704,"score_spread":0.1451959282361154,"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."}}