{"id":"W3088525755","doi":"10.1145/3409481.3409482","title":"Interview with John Barber","year":2020,"lang":"en","type":"article","venue":"ACM SIGWEB Newsletter","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Action (physics); State (computer science); Digital humanities; Media studies; Digital scholarship; New media; Digital media; Sociology; Library science; Visual arts; Art; Art history; World Wide Web; Computer science; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005259064,0.0007299898,0.001395195,0.001848141,0.02186565,0.00543713,0.001546615,0.007217909,0.02019347],"category_scores_gemma":[0.02068737,0.0009324934,0.0004192431,0.002607015,0.004028303,0.00550168,0.002890268,0.01654183,0.006240955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008898233,"about_ca_system_score_gemma":0.01138814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0963566,"about_ca_topic_score_gemma":0.1131147,"domain_scores_codex":[0.9961219,0.001517429,0.0001138479,0.0005052817,0.0008603562,0.0008810833],"domain_scores_gemma":[0.990759,0.00367998,0.0005577855,0.0001764037,0.002361311,0.002465418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002669153,0.00005120462,0.0005383658,0.0001043241,0.000003812369,0.0009778322,0.02008688,0.00003666045,0.0001948217,0.004523756,0.9680158,0.00543995],"study_design_scores_gemma":[0.000008840464,0.00002904659,0.001212226,0.000381844,0.000005026108,0.0008294496,0.07103897,0.00005483929,0.00009007286,0.0008363828,0.9254737,0.00003950754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01059729,0.01842706,0.0004434306,0.9094205,0.01115541,0.0001597487,0.0002859175,0.00006750193,0.04944308],"genre_scores_gemma":[0.08932509,0.01860296,0.001140585,0.7299824,0.003453407,0.0007623853,0.0001631065,0.000218249,0.1563518],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0963566,"threshold_uncertainty_score":0.1915915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489998136006136,"score_gpt":0.2830608745282981,"score_spread":0.2340610609276845,"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."}}