{"id":"W4408324363","doi":"10.21307/connections-2016-062","title":"The “Madre Sana” Data Set","year":2016,"lang":"en","type":"article","venue":"Connections","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Set (abstract data type); Data set; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009365999,0.00002750415,0.00003393862,0.00002000622,0.002435658,0.0001190071,0.0005834348,0.00003392585,0.0007113973],"category_scores_gemma":[0.001943055,0.00001490884,0.00002090207,0.0002106979,0.0003890569,0.0002617814,0.0001428172,0.00005921615,0.0008464429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004392072,"about_ca_system_score_gemma":0.0001894416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005152083,"about_ca_topic_score_gemma":0.0828665,"domain_scores_codex":[0.9992437,0.0001399604,0.00006459351,0.0001239614,0.000210059,0.000217741],"domain_scores_gemma":[0.9989027,0.0005513412,0.00001590702,0.000387951,0.00007277235,0.00006935305],"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":[0.000006381315,0.00001937992,0.002518504,0.000001464602,0.00002762883,0.000002221708,0.002383539,2.088164e-7,0.0002677144,0.2357552,0.6170107,0.1420071],"study_design_scores_gemma":[0.00005022683,0.000005006264,0.001759881,0.000004221128,0.000003148069,4.646461e-7,0.002953992,0.00000515327,0.00001405339,0.009254588,0.9859155,0.00003381184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06468073,0.0008326371,0.002236841,0.3999211,0.004144979,0.0005437191,0.0002157928,0.0003295102,0.5270947],"genre_scores_gemma":[0.9023575,0.000997883,0.000009045876,0.00007748182,0.0007483644,0.00001289501,0.000004037604,0.000004105082,0.09578864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8376768,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2305544517604015,"score_gpt":0.460803342153378,"score_spread":0.2302488903929765,"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."}}