{"id":"W2472468990","doi":"10.1093/jigpal/jzw017","title":"Does changing the subject from A to B really provide an enlarged understanding of A?","year":2016,"lang":"en","type":"article","venue":"Logic Journal of IGPL","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Demotion; Predicate (mathematical logic); Subject (documents); Computer science; Representation (politics); Epistemology; Heuristic; Natural (archaeology); Linguistics; Value (mathematics); Expression (computer science); Artificial intelligence; Philosophy; History","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":[],"consensus_categories":[],"category_scores_codex":[0.001216719,0.0001170531,0.0002414683,0.000165207,0.0001317514,0.00008592165,0.001075893,0.00004894021,0.00002487568],"category_scores_gemma":[0.0003264023,0.00004145387,0.0001130473,0.0002841797,0.00005178477,0.0004304071,0.0001745277,0.0001208254,0.000007261981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145026,"about_ca_system_score_gemma":0.0001192093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002611433,"about_ca_topic_score_gemma":0.0000928083,"domain_scores_codex":[0.998685,0.0001797242,0.0003472091,0.0001796562,0.0003100719,0.0002983234],"domain_scores_gemma":[0.998635,0.0003618842,0.0003830505,0.0003390111,0.0001504543,0.0001306268],"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":[0.0001395721,0.000165571,0.002494652,0.00001672995,0.0001286157,0.000141087,0.0230256,0.00002696083,0.03883296,0.8991845,0.0005929451,0.03525082],"study_design_scores_gemma":[0.002381775,0.002512715,0.01131228,0.0008886902,0.00008057712,0.0002121095,0.006126738,0.001050674,0.03054799,0.9402006,0.004082785,0.0006030319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06610348,0.000206065,0.9173292,0.003803066,0.0008895434,0.0001353618,0.000004009363,0.0000326331,0.01149663],"genre_scores_gemma":[0.9910923,0.00003702857,0.008118374,0.0002776101,0.0003203598,0.00000143335,1.516344e-7,0.000006232458,0.0001464761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9249889,"threshold_uncertainty_score":0.1999294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03799732256134044,"score_gpt":0.2604354939873992,"score_spread":0.2224381714260588,"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."}}