{"id":"W4398988845","doi":"10.7910/dvn/qvtakg/nc4ibg","title":"wave 1+2.do","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Replication (statistics); Authoritarianism; Reputation; Public opinion; Political science; Public relations; Law; Biology; Democracy","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":[0.001010401,0.002097924,0.001418942,0.003902007,0.000746847,0.003278934,0.00271037,0.002215829,0.1320046],"category_scores_gemma":[0.00777983,0.0008133732,0.001233736,0.007504964,0.0004532456,0.001736836,0.002407755,0.00166888,0.137817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190884,"about_ca_system_score_gemma":0.001804796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03333628,"about_ca_topic_score_gemma":0.05538576,"domain_scores_codex":[0.9991292,0.0001564866,0.00009067144,0.0002487623,0.0001798652,0.0001950434],"domain_scores_gemma":[0.9972529,0.0007063806,0.0004194909,0.0006892965,0.0005143127,0.0004176072],"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":[0.00003932491,0.000009930983,0.0006472616,0.0002681126,0.00002060237,0.000007325637,0.00001275304,0.000108903,0.00002440792,0.0003549518,0.9974537,0.001052827],"study_design_scores_gemma":[0.0003397497,0.0000186993,0.00538122,0.0003401759,0.0000330791,0.00003079514,0.00009045855,0.0003906045,0.0002064337,0.001610977,0.9915308,0.00002705415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007033611,0.00003852517,0.00002761016,0.00006620706,0.00002290568,0.000004420655,0.9990727,0.0001834513,0.0005138274],"genre_scores_gemma":[0.000470995,0.00004959697,0.0001274518,0.00007542387,0.00001703435,0.00005205967,0.9980727,0.00008762757,0.001047059],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8679954,"threshold_uncertainty_score":0.4415995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04838315903952488,"score_gpt":0.3080875507946859,"score_spread":0.259704391755161,"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."}}