{"id":"W7034521235","doi":"","title":"Trump’s Base! You Can Say That Again!! An Optimistic\\nDeconstruction of Base Politics","year":2021,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Rhetorical question; Association (psychology); Base (topology); Tone (literature)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001942792,0.0002707301,0.0003051081,0.004846946,0.0003659626,0.0000663811,0.0005191385,0.0001645476,0.0002986277],"category_scores_gemma":[0.0009831974,0.0003210062,0.0001213701,0.006950232,0.0007302755,0.0004762771,0.0002608628,0.0004745294,0.0000116107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987681,"about_ca_system_score_gemma":0.001158589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003899331,"about_ca_topic_score_gemma":0.002435426,"domain_scores_codex":[0.9973702,0.0004214494,0.0003350617,0.000814033,0.0005403751,0.0005189199],"domain_scores_gemma":[0.9981118,0.0003063735,0.0002840105,0.0007705563,0.0003109206,0.0002163638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004186898,0.005438438,0.002411094,0.001052617,0.0002680239,0.005894646,0.01586548,0.0003808529,0.2903141,0.631613,0.001652864,0.04469021],"study_design_scores_gemma":[0.001410941,0.0002680847,0.0001196235,0.0000818788,0.0001083689,0.00009265627,0.001673227,0.001099649,0.6672828,0.0001002788,0.3272688,0.0004936973],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267261,0.000001051912,0.007173114,0.002615929,0.00131294,0.0007787629,0.001043576,0.0004237127,0.2599249],"genre_scores_gemma":[0.9894524,0.004737771,0.003367683,0.001835713,0.0001344369,0.000002919375,0.00008991667,0.00004641281,0.0003327201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6315127,"threshold_uncertainty_score":0.9999242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06823840204384765,"score_gpt":0.2750515455320726,"score_spread":0.206813143488225,"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."}}