{"id":"W4398968480","doi":"10.7910/dvn/s3hacj/hn1zgg","title":"functions_survey.R","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Replication (statistics); Persuasion; Deliberation; Political science; Voter model; Survey data collection; Public administration; Psychology; Social psychology; Statistics; Mathematics; Law; Politics","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":[0.002550935,0.003231851,0.002272138,0.004512422,0.0009231058,0.003620149,0.004847038,0.002295319,0.2463667],"category_scores_gemma":[0.0165085,0.001438943,0.00213891,0.00739468,0.0006969417,0.001949165,0.003142922,0.00231376,0.2479797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453943,"about_ca_system_score_gemma":0.002763533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846178,"about_ca_topic_score_gemma":0.02554767,"domain_scores_codex":[0.9981178,0.0005447544,0.0001705083,0.0006263721,0.0002751566,0.0002653947],"domain_scores_gemma":[0.9943848,0.002330472,0.0004767161,0.001611192,0.0007450178,0.0004517402],"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":[0.00003667753,0.000009118152,0.0003901655,0.0004027586,0.00003998668,0.000007656259,0.00001124379,0.0001751208,0.0000296828,0.0004880283,0.9972785,0.001130917],"study_design_scores_gemma":[0.0004793665,0.00002086861,0.002147996,0.00032456,0.00006244228,0.00004198694,0.00004065848,0.0007356573,0.000287312,0.004218671,0.9915974,0.0000432504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005539338,0.00003894728,0.0001897211,0.00006622496,0.00001993952,0.000009347268,0.9977497,0.001254141,0.0006165809],"genre_scores_gemma":[0.0006385995,0.00008666713,0.0008006652,0.0001604639,0.00001889497,0.0001874347,0.9959311,0.0009978437,0.001178368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7536333,"threshold_uncertainty_score":0.8241788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06648054173853793,"score_gpt":0.3320269635143961,"score_spread":0.2655464217758582,"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."}}