{"id":"W4385361429","doi":"10.1142/9789811234378_0060","title":"BUSY SIGNALS","year":2023,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002451868,0.0008771516,0.0008726033,0.003183844,0.000825219,0.001061284,0.001360116,0.000338174,0.00392946],"category_scores_gemma":[0.0000341864,0.000904184,0.0006184841,0.0002729916,0.001692007,0.00008194549,0.000602931,0.001016763,0.2487182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145821,"about_ca_system_score_gemma":0.0004488753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007817125,"about_ca_topic_score_gemma":0.007398868,"domain_scores_codex":[0.9936826,0.00005611748,0.0009158808,0.00206242,0.002227546,0.001055429],"domain_scores_gemma":[0.9958937,0.000242339,0.0006175654,0.002352887,0.0004364293,0.0004571321],"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":[0.00001593689,0.000008897221,0.000001927536,0.00005087823,0.0001197916,0.0001803377,0.0002245928,0.000008443492,0.004886685,0.2833539,0.7085796,0.002569013],"study_design_scores_gemma":[0.0002098182,0.00001316668,0.000004021825,0.0005792041,0.000130436,0.000006677563,0.00001129822,0.00002463369,0.001146589,0.07762793,0.9193575,0.0008887107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004973051,0.0001498725,0.00000656745,0.00005026845,0.006372506,0.0008800804,0.000960993,0.001875785,0.9896542],"genre_scores_gemma":[0.0009434726,3.210488e-7,0.000126403,0.00009789162,0.0005862177,0.00005510977,0.0003496688,0.0008537886,0.9969871],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2447887,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06952259380982612,"score_gpt":0.2693792117913128,"score_spread":0.1998566179814867,"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."}}