{"id":"W4402090869","doi":"10.1353/vcr.2024.a936084","title":"Chatting Up the Sciences: The Mid-Victorian \"Lecture-Gossip\"","year":2024,"lang":"en","type":"article","venue":"Victorian review","topic":"Literature: history, themes, analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gossip; History; Media studies; Sociology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001734256,0.0003161978,0.000410999,0.0001112631,0.001698792,0.001430859,0.0009893811,0.00005699181,0.00384257],"category_scores_gemma":[0.0001970582,0.00014365,0.0004465421,0.0005481133,0.0006349523,0.0003053255,0.00008648728,0.0004594196,0.0007120786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246962,"about_ca_system_score_gemma":0.0001684488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007002259,"about_ca_topic_score_gemma":0.0004948743,"domain_scores_codex":[0.9977276,0.0003220596,0.000494339,0.0004876442,0.0005472977,0.0004210728],"domain_scores_gemma":[0.9985219,0.0003605372,0.0001479551,0.0007600631,0.0001292729,0.00008030867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002698392,0.0000213251,0.0000104984,0.002279243,0.000315895,0.00001419155,0.0817147,0.000001586794,0.00004425998,0.7656345,0.1389963,0.01096477],"study_design_scores_gemma":[0.00004149311,0.00002152127,0.000002392681,0.002333946,0.0003891587,0.000007903877,0.0002665267,0.0000352291,0.000010943,0.001929662,0.9947441,0.000217137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00006018762,0.8692694,0.00005901003,0.0221088,0.01699305,0.0006139817,0.00003569819,0.0002621402,0.09059776],"genre_scores_gemma":[0.6208373,0.123689,0.0001616997,0.0430925,0.07852946,0.0007369132,0.0001194558,0.0003504,0.1324833],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8557478,"threshold_uncertainty_score":0.9996058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717500219775054,"score_gpt":0.26874526241198,"score_spread":0.2315702602142294,"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."}}