{"id":"W7018811492","doi":"","title":"Episode 122: The Feminist Scorecard *SUBSCRIBER PREVIEW*","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Balanced scorecard; Conversation analysis; Joins; Intersectionality; Discourse analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001309573,0.0004033754,0.0004204195,0.0009650844,0.00390566,0.006007256,0.001024045,0.003633807,0.4361409],"category_scores_gemma":[0.007302291,0.0003740452,0.0002468299,0.001899766,0.0004544911,0.002284811,0.002259269,0.003321102,0.177746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004426123,"about_ca_system_score_gemma":0.005137176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1207176,"about_ca_topic_score_gemma":0.1857278,"domain_scores_codex":[0.9981592,0.0001467679,0.0000556966,0.00009183737,0.001107452,0.0004390141],"domain_scores_gemma":[0.9978351,0.0004382187,0.0000754775,0.0001568223,0.001036472,0.0004579354],"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":[0.000007130595,0.000006909681,0.00005279505,0.00001069414,2.205229e-7,0.00002570489,0.00007460897,0.000004925479,0.00003074211,0.001473951,0.9943156,0.003996838],"study_design_scores_gemma":[0.000005140944,0.000003608981,0.0005923967,0.0000125396,3.890465e-7,0.00001154328,0.000113306,0.00001562173,0.0000454956,0.0001873136,0.9990091,0.000003589577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001249061,0.0002675922,0.0002599307,0.01714479,0.002105681,0.0003267287,0.01027069,0.0007445972,0.967631],"genre_scores_gemma":[0.006381185,0.000191077,0.0001274057,0.006786239,0.0007854608,0.0001804607,0.003461865,0.0004113868,0.981675],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4361409,"threshold_uncertainty_score":0.8042766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009480572710403666,"score_gpt":0.2006223009235462,"score_spread":0.1911417282131426,"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."}}