{"id":"W3124793697","doi":"","title":"Analogical Arguments: Inferential Structures and Defeasibility Conditions","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Defeasible reasoning; Analogy; Inference; Computer science; Predicate (mathematical logic); Similarity (geometry); Defeasible estate; Argument (complex analysis); Feature (linguistics); Artificial intelligence; Natural language processing; Epistemology; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003505515,0.00009046537,0.0001049507,0.00003781762,0.001677201,0.0005480315,0.0001598276,0.00003384168,0.0009256107],"category_scores_gemma":[0.00020649,0.00006741613,0.00005617558,0.000004246043,0.0003252479,0.000162043,0.00004465051,0.0006207728,0.000008304527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239077,"about_ca_system_score_gemma":0.0002122456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003478635,"about_ca_topic_score_gemma":0.008762231,"domain_scores_codex":[0.9989059,0.00003261924,0.0001472293,0.0001218597,0.0001225106,0.0006698613],"domain_scores_gemma":[0.9995244,0.00001421895,0.0001439036,0.0001606641,0.00009735874,0.0000595209],"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":[0.00001162512,0.00002374811,0.00241735,0.000002361815,0.00005913903,0.000002476821,0.0007561133,4.879284e-7,0.00001292408,0.9952264,0.00009786675,0.001389466],"study_design_scores_gemma":[0.0004173939,0.0001162869,0.01997744,0.000006043511,0.00004680914,0.0000531277,0.001846588,0.0000378504,0.000004589861,0.9717515,0.005636565,0.0001058073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790317,0.0008512639,0.0004269756,0.0002772522,0.0006776561,0.00007597614,0.00003089875,0.00002078389,0.01860743],"genre_scores_gemma":[0.9968232,0.0002297716,0.00001630656,0.0000431088,0.001473278,0.000001481434,0.00001191102,0.000006376353,0.00139459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347495,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183764398883406,"score_gpt":0.2788993764323535,"score_spread":0.2570617324435194,"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."}}