{"id":"W2792805401","doi":"10.3758/s13421-018-0804-x","title":"Reasoning from an incompatibility: False dilemma fallacies and content effects","year":2018,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Falsity; Fallacy; Counterexample; Psychology; Dilemma; Statement (logic); Semantic reasoner; Epistemology; Proposition; Content (measure theory); Deception; Cognitive psychology; Inference; Social psychology; Artificial intelligence; Computer science; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01940402,0.001288793,0.001298276,0.003060852,0.001282202,0.006491978,0.003121293,0.005947868,0.02949623],"category_scores_gemma":[0.3711094,0.001891146,0.0009330342,0.001424866,0.005662737,0.02380372,0.004552384,0.006727098,0.001576161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473521,"about_ca_system_score_gemma":0.001437449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005826625,"about_ca_topic_score_gemma":0.0003909505,"domain_scores_codex":[0.988216,0.005520687,0.0009159847,0.001401373,0.003525542,0.000420454],"domain_scores_gemma":[0.5461012,0.4014343,0.01921884,0.02323511,0.006731703,0.003278871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01936682,0.0140852,0.09419674,0.002266081,0.0009355113,0.003094871,0.01439598,0.01394516,0.03594331,0.5304165,0.01107856,0.2602753],"study_design_scores_gemma":[0.002310896,0.0009381457,0.06012618,0.0002839353,0.0006045802,0.002464259,0.001646789,0.03299686,0.007672108,0.8869968,0.003762922,0.0001965203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009793,0.0007308926,0.02610121,0.005726896,0.0003294418,0.000338357,0.0003443896,0.0002118314,0.0652376],"genre_scores_gemma":[0.9849242,0.0002556721,0.01066381,0.0008032834,0.0003053995,0.0002292978,0.0002393508,0.0001710188,0.002407948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02949623,"threshold_uncertainty_score":0.1026195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06499087598819243,"score_gpt":0.3430273998472735,"score_spread":0.2780365238590811,"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."}}