{"id":"W4200546404","doi":"10.29173/iq1025","title":"IASSIST gone glocal","year":2021,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glocalization; Acronym; Framing (construction); Documentation; Political science; Media studies; History; Law; Sociology; Linguistics; Globalization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00148128,0.001122693,0.0005665935,0.001188764,0.004364744,0.01027662,0.0008183706,0.004454413,0.3258148],"category_scores_gemma":[0.005548444,0.0005369469,0.0004983062,0.0007792183,0.0009983463,0.004042529,0.004625402,0.005658728,0.2343317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106862,"about_ca_system_score_gemma":0.003348491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004210071,"about_ca_topic_score_gemma":0.01008293,"domain_scores_codex":[0.9986016,0.0001491745,0.00005353362,0.0002534704,0.0005511139,0.0003909586],"domain_scores_gemma":[0.996763,0.0002508611,0.0001786641,0.0001998493,0.00112126,0.001486336],"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":[0.00001084506,0.000005564446,0.00004164584,0.00002085113,5.181352e-7,0.00003322352,0.00005286887,0.000003912711,0.00004306176,0.0007400243,0.9944693,0.004578261],"study_design_scores_gemma":[0.000001372885,0.000004524216,0.0001029928,0.0000222674,3.065589e-7,0.00001507311,0.00008281315,0.000003700186,0.00002214979,0.00008012744,0.9996628,0.000001906139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001829126,0.01135402,0.0004855296,0.1351014,0.2658949,0.0001162643,0.001288648,0.001606792,0.5823234],"genre_scores_gemma":[0.003791945,0.001514342,0.0001561685,0.01632347,0.01132842,0.00004380524,0.0004555635,0.0004148709,0.9659714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3258148,"threshold_uncertainty_score":0.9616433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1565385725467741,"score_gpt":0.419423647592809,"score_spread":0.2628850750460349,"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."}}