{"id":"W1480577645","doi":"","title":"Balancing Legal Process with Scientific Expertise: Expert Witness Methodology in Five Nations and Suggestions for Reform of Post-Daubert U.S. Reliability Determinations","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Jury Decision Making Processes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Premise; Strengths and weaknesses; Expert witness; Law; Process (computing); Witness; Political science; Scientific evidence; Reliability (semiconductor); Computer science; Psychology; Epistemology","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":[0.3635046,0.0009766193,0.001650805,0.007464055,0.01646063,0.02094341,0.007382642,0.01598603,0.002173587],"category_scores_gemma":[0.3050276,0.001329384,0.001423716,0.004669969,0.04142405,0.02807632,0.01311928,0.01672403,0.000392059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01753164,"about_ca_system_score_gemma":0.03844939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993403,"about_ca_topic_score_gemma":0.04419331,"domain_scores_codex":[0.7303111,0.2139322,0.01223024,0.01372584,0.02207596,0.007724633],"domain_scores_gemma":[0.6505463,0.2767273,0.01416918,0.01681372,0.03821467,0.003528876],"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":[0.00005326953,0.00005860001,0.003098108,0.0001590818,0.00003324579,0.0002546774,0.01729692,0.0008981967,0.0002725131,0.9440923,0.002830208,0.03095274],"study_design_scores_gemma":[0.0001585594,0.0005299163,0.007789113,0.002692913,0.0001744425,0.0003959657,0.02550636,0.009872161,0.003503949,0.8526039,0.09643574,0.0003368883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.117948,0.01975182,0.3387311,0.3884956,0.002861673,0.001426094,0.0001246286,0.0002771146,0.1303839],"genre_scores_gemma":[0.6549338,0.004018074,0.293151,0.03899044,0.0006894217,0.001807946,0.00004850271,0.00007052628,0.00629027],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3635046,"threshold_uncertainty_score":0.7849122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631702209993354,"score_gpt":0.3782167857402187,"score_spread":0.3518997636402851,"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."}}