{"id":"W3200612959","doi":"10.22148/001c.28215","title":"Celebrating 5 Years of Cultural Analytics","year":2021,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Data science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001001177,0.00010802,0.0004422134,0.0001115062,0.0001843826,0.0001293287,0.0002686482,0.00008141976,0.0002677458],"category_scores_gemma":[0.001502739,0.00008324025,0.0005192202,0.001082089,0.0001842023,0.0003892979,0.00004971051,0.0002531054,0.000006141453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010102,"about_ca_system_score_gemma":0.0003549884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009918852,"about_ca_topic_score_gemma":0.0002830204,"domain_scores_codex":[0.9977158,0.0003117179,0.0007596272,0.0001181624,0.0008822907,0.0002123831],"domain_scores_gemma":[0.9964017,0.0003339881,0.0007626584,0.00009413988,0.002240967,0.0001665226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002600282,0.00180636,0.06985416,0.0002970062,0.007360601,0.001736793,0.1687598,0.1772909,0.03597903,0.2053267,0.04591013,0.2854185],"study_design_scores_gemma":[0.004496092,0.0008154072,0.08833983,0.0009061298,0.005649888,0.0005712887,0.39629,0.05217499,0.0135865,0.06586014,0.368939,0.002370685],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834005,0.0009826869,0.003706779,0.002706077,0.0004739977,0.00004313812,0.00000646552,0.00001320515,0.008667212],"genre_scores_gemma":[0.9765503,0.0003833772,0.01909308,0.0001247082,0.0007055458,1.491589e-7,0.000005815295,0.000005800896,0.00313121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3230289,"threshold_uncertainty_score":0.3394439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06948626028111493,"score_gpt":0.3942367134171539,"score_spread":0.324750453136039,"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."}}