{"id":"W4317209689","doi":"10.1145/3580479","title":"Using Toulmin's Argumentation Model to Enhance Trust in Analytics-Based Advice Giving Systems","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Management Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Advice (programming); Argumentation theory; Competence (human resources); Analytics; Computer science; Psychology; Knowledge management; Social psychology; Data science; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01311219,0.0009292782,0.0006476899,0.00191122,0.0018652,0.004319531,0.001563707,0.003785096,0.004037778],"category_scores_gemma":[0.07411702,0.0005286555,0.00106652,0.0008976865,0.00310728,0.007093298,0.002795573,0.00243954,0.0005517301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003129418,"about_ca_system_score_gemma":0.002799835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290272,"about_ca_topic_score_gemma":0.002611076,"domain_scores_codex":[0.9874024,0.00847462,0.0007471807,0.000969657,0.001909186,0.0004968063],"domain_scores_gemma":[0.9085693,0.07247122,0.00756692,0.004705367,0.004898713,0.001788325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001967079,0.002150369,0.04358223,0.001383894,0.0004190191,0.001660361,0.0552852,0.07911618,0.02143387,0.5603416,0.004834817,0.2278254],"study_design_scores_gemma":[0.0003805111,0.001076433,0.01100417,0.0003966099,0.0003882387,0.0008787094,0.004538059,0.6572193,0.007682418,0.2940712,0.02217694,0.0001874483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4183674,0.0003009476,0.5348102,0.005906652,0.0001213544,0.0006078575,0.0001032308,0.0005625391,0.03921992],"genre_scores_gemma":[0.9277281,0.00007107968,0.06967694,0.0001897879,0.00002144042,0.0001413739,0.00003986685,0.00003141618,0.002100108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01311219,"threshold_uncertainty_score":0.0693447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1350557300973179,"score_gpt":0.4073622137549328,"score_spread":0.2723064836576149,"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."}}