{"id":"W6985888586","doi":"","title":"Interview no. 1459","year":2010,"lang":"en","type":"article","venue":"scholarworks - UTEP (The University of Texas at El Paso)","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Wife; White (mutation); Immigration; Quarter (Canadian coin); Notice; World War II; Spell","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003827793,0.0001539565,0.0002653446,0.0000630553,0.0003145634,0.00001803004,0.0004313326,0.0001299397,0.005619568],"category_scores_gemma":[0.00005807883,0.0001235326,0.0002650486,0.0001791389,0.0002327391,0.0002116776,0.0005154968,0.0009153263,0.001106928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007975873,"about_ca_system_score_gemma":0.00004552488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000279488,"about_ca_topic_score_gemma":0.0002383449,"domain_scores_codex":[0.9990047,0.00007492825,0.0001449909,0.0002443635,0.0002695051,0.0002615604],"domain_scores_gemma":[0.9988257,0.00007563537,0.0001043198,0.0006756035,0.0001424046,0.0001763218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002931213,0.001720587,0.2316906,0.00073335,0.001442136,0.001283873,0.002186306,0.00002114731,0.05650606,0.003444622,0.5880209,0.1100193],"study_design_scores_gemma":[0.001712187,0.0002159564,0.09795,0.0001789511,0.0003073728,0.0001087078,0.0002728011,0.0001284546,0.0006809438,0.0000577781,0.898198,0.0001888076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642856,0.0005303455,0.0001792765,0.01126965,0.0006332637,0.0003289737,0.00001743213,0.00006780787,0.02268764],"genre_scores_gemma":[0.9841753,0.0002008825,0.001110596,0.002830253,0.00020199,2.308339e-7,0.00003477027,0.00001833556,0.01142763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3101772,"threshold_uncertainty_score":0.9996708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141248543590437,"score_gpt":0.228927850502484,"score_spread":0.2175153650665796,"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."}}