{"id":"W2805271339","doi":"10.22329/il.v38i2.4805","title":"Analogical Arguments in Persuasive and Deliberative Contexts","year":2018,"lang":"en","type":"article","venue":"Informal Logic","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Argument (complex analysis); Analogy; Epistemology; Context (archaeology); Philosophy; Meaning (existential); Humanities; Sociology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01655575,0.00120367,0.0008348281,0.00716935,0.004409372,0.01090622,0.002094117,0.004648873,0.008478939],"category_scores_gemma":[0.048338,0.0008547324,0.001329695,0.004280358,0.0172325,0.01989069,0.006833463,0.003206763,0.0007933004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004312558,"about_ca_system_score_gemma":0.001652494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064495,"about_ca_topic_score_gemma":0.001004742,"domain_scores_codex":[0.9555151,0.03614251,0.001453001,0.001469369,0.004683393,0.0007365569],"domain_scores_gemma":[0.9545687,0.03930347,0.001872868,0.002226975,0.001493364,0.0005346595],"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":[0.00001988343,0.00001132685,0.0001226628,0.000130939,0.00001263965,0.0001360483,0.005675169,0.001098557,0.0001893658,0.9849132,0.0002953802,0.007394908],"study_design_scores_gemma":[0.0000249935,0.00002599691,0.0001920448,0.0001798215,0.00001433003,0.0002260641,0.002778523,0.003766846,0.0005102548,0.9493203,0.04293625,0.00002445036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05578478,0.007551424,0.7842982,0.008165251,0.0009474389,0.0002955211,0.0001123638,0.0003141213,0.1425309],"genre_scores_gemma":[0.7819393,0.001802746,0.2035515,0.000610692,0.0002654525,0.0005118654,0.00009719554,0.0001692815,0.011052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01655575,"threshold_uncertainty_score":0.08755624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370223664687113,"score_gpt":0.2755125901704127,"score_spread":0.2518103535235415,"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."}}