{"id":"W7098365163","doi":"","title":"Chem. Educator 2001, 6, 295–305 295 The Dry Martini: Chemistry, History, and Assorted Lore *","year":2011,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"KISS (TNC); Frith; Champion; Nephew and niece; White (mutation); Sister; Luck; Victory","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":[],"consensus_categories":[],"category_scores_codex":[0.0002488932,0.0001521981,0.0001614214,0.00002582407,0.0001940525,0.00002350767,0.0007787982,0.0001261293,0.0006388653],"category_scores_gemma":[0.00007244788,0.0001014745,0.00004503608,0.0001197783,0.0003533184,0.0001170691,0.0004316799,0.0002104195,0.00005023682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005857612,"about_ca_system_score_gemma":0.00009644064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001325334,"about_ca_topic_score_gemma":0.00005516002,"domain_scores_codex":[0.9990165,0.00002063904,0.0001701295,0.0003589662,0.000125864,0.0003078954],"domain_scores_gemma":[0.9990673,0.00005470555,0.00007546275,0.0006828404,0.00005009006,0.00006956545],"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":[0.00001283889,0.0002198006,0.01819377,0.00003263382,0.0001357025,0.00002080171,0.01133765,3.406527e-8,0.001062102,0.04572399,0.9034576,0.01980305],"study_design_scores_gemma":[0.0006506935,0.00009000914,0.06794877,0.00002001668,0.00004392169,0.00006211655,0.001415412,0.0007932986,0.009658388,0.01420291,0.9044452,0.0006692907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3897664,0.003865216,0.009331461,0.01078436,0.001621346,0.0003417707,0.000002359925,0.001082885,0.5832042],"genre_scores_gemma":[0.9552937,0.0001005517,0.008381198,0.00197064,0.0001279086,0.00005512205,0.000001177854,0.00001188845,0.0340578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5655273,"threshold_uncertainty_score":0.6995127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596059274747331,"score_gpt":0.2130508195195771,"score_spread":0.1770902267721038,"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."}}