{"id":"W4398556249","doi":"10.7910/dvn/exisk5/rmdqxf","title":"POBE_CA.do","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Incentive; Economics; Statistics; Microeconomics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002759871,0.001381466,0.001589956,0.005144746,0.002664178,0.004067558,0.00427471,0.001230403,0.3356596],"category_scores_gemma":[0.02459011,0.001380083,0.001232845,0.01258456,0.0008657315,0.001438959,0.002795691,0.002164391,0.1623175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01090614,"about_ca_system_score_gemma":0.03822657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8242189,"about_ca_topic_score_gemma":0.88719,"domain_scores_codex":[0.9973223,0.0003581514,0.0002427583,0.0004756887,0.0009095893,0.000691514],"domain_scores_gemma":[0.9779612,0.003549938,0.001237467,0.004780114,0.01071375,0.001757477],"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":[0.00001914252,0.000006483396,0.0005772942,0.000063151,0.00001194621,0.000003932525,0.00001619036,0.00006531433,0.000008298053,0.000411831,0.997771,0.001045338],"study_design_scores_gemma":[0.000365676,0.000009257805,0.007656699,0.0002016509,0.00003747208,0.00001749559,0.0001311889,0.0003414514,0.0002822569,0.001289873,0.9896234,0.00004354822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005640005,0.00001062222,0.00009005974,0.00007906422,0.00001391992,0.00002415258,0.9976735,0.0003290512,0.001723336],"genre_scores_gemma":[0.001170455,0.00005268244,0.0007795995,0.000141281,0.0000204966,0.0003474143,0.9889291,0.0007516905,0.007807339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8242189,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153875303763969,"score_gpt":0.3285089543131254,"score_spread":0.2969702012754857,"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."}}