{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02551537,0.0008600877,0.001508951,0.007030519,0.004767623,0.009468121,0.003703259,0.009209792,0.01250704],"category_scores_gemma":[0.09080041,0.001504557,0.002873811,0.002992994,0.03018928,0.03187741,0.008652555,0.008457718,0.00146009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003940051,"about_ca_system_score_gemma":0.001767895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004697763,"about_ca_topic_score_gemma":0.0002939933,"domain_scores_codex":[0.9740724,0.0113477,0.002611871,0.003748939,0.006624831,0.001594407],"domain_scores_gemma":[0.9089689,0.06944129,0.004170579,0.01002706,0.005743541,0.001648738],"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":[0.00003627136,0.00002053616,0.0002453484,0.00004330276,0.00001347096,0.0001465881,0.0005206327,0.0003216934,0.0002385801,0.9959385,0.0001908042,0.002284239],"study_design_scores_gemma":[0.00002605689,0.00001447165,0.0001395045,0.00003145805,0.000008322367,0.0001306985,0.0001439011,0.001304538,0.0002921529,0.9969681,0.0009309798,0.000009821625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2565549,0.00209277,0.5011085,0.018921,0.0004861759,0.0006410586,0.0007412449,0.0006603497,0.2187939],"genre_scores_gemma":[0.9493808,0.0003897761,0.04559347,0.0007520069,0.0004010445,0.000313662,0.000358753,0.00008522196,0.00272525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02551537,"threshold_uncertainty_score":0.1349397,"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."}}