{"id":"W4398897020","doi":"10.7910/dvn/u1jec0","title":"Replication Data for: Material interests, identity, and linked fate in three countries","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Metallurgy and Cultural Artifacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Identity (music); Biology; Art; Virology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001437659,0.0001739107,0.0002887905,0.0000721427,0.0002287088,0.000469719,0.001469858,0.000273704,0.009687087],"category_scores_gemma":[0.0009375231,0.000157456,0.00002883833,0.00009094687,0.0002089051,0.001844644,0.0009954855,0.0001642663,0.02104638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005910551,"about_ca_system_score_gemma":0.0001311193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005761249,"about_ca_topic_score_gemma":0.09672954,"domain_scores_codex":[0.9982927,0.0001258626,0.0003172467,0.0006767061,0.0003112059,0.0002762222],"domain_scores_gemma":[0.9974383,0.00009649295,0.0002261573,0.002092475,0.0000659312,0.00008070789],"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":[0.00007102535,0.00001969672,0.00005625835,0.0001268985,0.00002496088,0.000005682733,0.0001392169,2.47238e-7,0.00001539422,0.001256734,0.9978641,0.0004197283],"study_design_scores_gemma":[0.0002656028,0.00001622248,0.0004077039,0.00008884686,0.00006531652,0.000001399397,0.0001868399,0.00001755025,0.000004382147,0.0007370228,0.9980097,0.0001993706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002831932,0.000001979376,0.00002823491,0.00007470119,0.001033716,0.0007200983,0.995201,0.0000225344,0.00008578757],"genre_scores_gemma":[0.0004600701,0.001079919,0.0000882263,0.0001882461,0.0003525646,0.00002682181,0.9974547,0.000008094685,0.0003413825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09096829,"threshold_uncertainty_score":0.9912182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136913293787682,"score_gpt":0.362328015340162,"score_spread":0.2486366859613938,"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."}}