{"id":"W2208023489","doi":"10.22230/src.2015v6n4a216","title":"Mode 2 in Action: Working Across Sectors to Create a Center for Humanities and Technology","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White paper; Digital humanities; Center (category theory); White (mutation); Mode (computer interface); Discipline; Action (physics); Private sector; Work (physics); Knowledge production; Political science; Humanities; Library science; Sociology; Public relations; Knowledge management; Engineering; Computer science; Social science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986097,0.00005504707,0.00008941994,0.0002782941,0.0004464473,0.0008412877,0.0006785117,0.00008306806,2.784127e-7],"category_scores_gemma":[0.0005956836,0.00004854446,0.00000807016,0.0004351391,0.0001793789,0.001043351,0.0009179602,0.0003731679,0.000002350332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005468908,"about_ca_system_score_gemma":0.00004062683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002524941,"about_ca_topic_score_gemma":0.00194717,"domain_scores_codex":[0.9990666,0.000200656,0.0001105802,0.0001877617,0.0001800678,0.0002543147],"domain_scores_gemma":[0.9988546,0.0002170537,0.00002143215,0.0005204073,0.0003385919,0.0000479529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002873401,0.0002870634,0.2478838,0.0001134942,0.00005020437,0.000009999754,0.06573504,0.00003947522,0.00344655,0.2958233,0.002036266,0.3842875],"study_design_scores_gemma":[0.006966277,0.001891253,0.1866269,0.001077676,0.000008637833,0.0001189027,0.07107598,0.02896754,0.01055482,0.4294112,0.2622751,0.001025729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790062,0.002002153,0.005666322,0.01224188,0.00005594985,0.0003462084,0.000001873142,0.00007549683,0.0006039696],"genre_scores_gemma":[0.9891022,0.0003351214,0.01021949,0.00008285652,0.00001406884,0.0000907471,0.000002214331,0.000003826789,0.0001494258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3832617,"threshold_uncertainty_score":0.8112556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.342124365554846,"score_gpt":0.4567625948698538,"score_spread":0.1146382293150078,"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."}}