{"id":"W4398801399","doi":"10.7910/dvn/qtoiqf/1ooddm","title":"makeContentAnalysisData.R","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Publicity; Legitimation; Replication (statistics); Political science; Law; Public opinion; Statistics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002798372,0.003592769,0.002369355,0.005995445,0.001319608,0.004370647,0.0056866,0.002879819,0.1819694],"category_scores_gemma":[0.01968742,0.001401852,0.002436301,0.008444992,0.0009439537,0.002306562,0.004037481,0.003117486,0.2310019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711737,"about_ca_system_score_gemma":0.003675403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01741796,"about_ca_topic_score_gemma":0.02547483,"domain_scores_codex":[0.9977634,0.0005249393,0.0002303054,0.0007194419,0.0004633421,0.0002985414],"domain_scores_gemma":[0.9937105,0.002471402,0.0004835257,0.002014788,0.0008684791,0.0004513728],"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":[0.00005063042,0.00001426764,0.0003561815,0.000540702,0.00005773696,0.00001402077,0.0000192609,0.0001729879,0.00007426132,0.0006417157,0.996662,0.001396272],"study_design_scores_gemma":[0.0004636476,0.00001736,0.001549227,0.0003113421,0.00007610356,0.00004494283,0.00003988927,0.0006177403,0.0004980373,0.00454413,0.9917923,0.00004533823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00007244491,0.00006278266,0.0002458955,0.00009990534,0.00002726547,0.00001505811,0.9966242,0.002094719,0.0007577499],"genre_scores_gemma":[0.0005622157,0.0000986396,0.0008939596,0.0001466071,0.00001451132,0.0002115208,0.9959641,0.001182992,0.0009255178],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.8180305,"threshold_uncertainty_score":0.6087484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809128191000726,"score_gpt":0.2899496542921002,"score_spread":0.261858372382093,"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."}}