{"id":"W4233829821","doi":"10.1007/978-1-4939-7131-2_100230","title":"Culture Analytics","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Analytics; Computer science; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009219733,0.001061094,0.0004360743,0.003157033,0.00159096,0.007577754,0.001306892,0.0009621598,0.08674506],"category_scores_gemma":[0.003742493,0.0003190551,0.0005291576,0.00378394,0.001125103,0.007132482,0.002990112,0.001913742,0.04043065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043057,"about_ca_system_score_gemma":0.002334323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00548936,"about_ca_topic_score_gemma":0.007588692,"domain_scores_codex":[0.9992,0.0001980621,0.00003303299,0.0001489414,0.0003467406,0.00007327766],"domain_scores_gemma":[0.9989852,0.0003196731,0.00004129831,0.0002463307,0.0003138014,0.00009363962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001424835,0.00003968508,0.0005169278,0.0001618206,0.00001076222,0.00003737345,0.001046125,0.0005450084,0.0004216793,0.3253172,0.3014009,0.3704883],"study_design_scores_gemma":[0.000002069613,0.000004023656,0.0004918438,0.000187133,0.000005166763,0.00004979727,0.00105339,0.001517634,0.0007789325,0.1687246,0.8271744,0.00001104858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002445584,0.00326129,0.07055173,0.007321389,0.001376837,0.0001571795,0.002765761,0.002493902,0.9096264],"genre_scores_gemma":[0.05584827,0.006319383,0.05643132,0.002169859,0.0009727315,0.0003741838,0.00781235,0.001625396,0.8684464],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08674506,"threshold_uncertainty_score":0.2901911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0752359675552887,"score_gpt":0.3860988038862542,"score_spread":0.3108628363309655,"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."}}