{"id":"W4410907699","doi":"10.70777/si.v2i2.14611","title":"Pitfalls of Evidence-Based AI Policy","year":2025,"lang":"en","type":"article","venue":"SuperIntelligence - Robotics - Safety & Alignment","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3173422,0.001903982,0.003550187,0.01017107,0.008660415,0.02299187,0.01028919,0.03246516,0.004063417],"category_scores_gemma":[0.3915412,0.002073001,0.003671712,0.005495969,0.06259497,0.03574777,0.01390285,0.05982811,0.001950496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01973984,"about_ca_system_score_gemma":0.03578812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083463,"about_ca_topic_score_gemma":0.00627227,"domain_scores_codex":[0.7049791,0.168966,0.02115451,0.01954957,0.08007751,0.00527333],"domain_scores_gemma":[0.3824463,0.5428219,0.01142609,0.01495954,0.04239941,0.005946791],"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":[0.00004769294,0.00005172243,0.0002851048,0.0005665068,0.00007027444,0.0001060996,0.0009190614,0.0009939896,0.00009101207,0.9558392,0.02107159,0.01995773],"study_design_scores_gemma":[0.0000892495,0.00003666374,0.0002696294,0.002269326,0.0000442938,0.000134772,0.0006926527,0.001572358,0.0002092438,0.9315783,0.06304439,0.00005915606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001336656,0.01781536,0.01850323,0.93923,0.002240286,0.00008847345,0.00008597627,0.0000568661,0.02064312],"genre_scores_gemma":[0.2247608,0.02685073,0.07133764,0.661115,0.01058332,0.001099154,0.0001660517,0.0001737141,0.003913602],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3173422,"threshold_uncertainty_score":0.8418386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2312626749960818,"score_gpt":0.4610154853350626,"score_spread":0.2297528103389808,"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."}}