{"id":"W6991301652","doi":"","title":"The Garden in the Machine: Grace Lee Boggs’s Living for Change: An Autobiography and Detroit’s Urban-Agrarian Future","year":2021,"lang":"en","type":"article","venue":"Smith ScholarWorks (Smith College)","topic":"Asian American and Pacific Histories","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Asian americans; Period (music); Face (sociological concept); Asian studies; Biography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002826065,0.0002835324,0.0003248524,0.0001477932,0.003715817,0.0007684114,0.0007486387,0.0002440458,0.00005914938],"category_scores_gemma":[0.0005036208,0.0001977113,0.0001788153,0.001740729,0.000952289,0.0005836062,0.00008378619,0.0008092452,0.00000625744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332316,"about_ca_system_score_gemma":0.0005479833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005264612,"about_ca_topic_score_gemma":0.01761323,"domain_scores_codex":[0.9965945,0.001193122,0.0003239115,0.0005599287,0.0005767141,0.0007518181],"domain_scores_gemma":[0.9978678,0.0009177326,0.0001795063,0.0005933183,0.0001975701,0.0002440729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002823755,0.0003926433,0.2821496,0.0001017992,0.0002001543,0.0001702421,0.4443837,0.000005583723,0.000008432928,0.06293867,0.1521814,0.0571854],"study_design_scores_gemma":[0.0003389675,0.0001004561,0.03167488,0.00008631378,0.00004198194,0.00001211949,0.3341168,0.00006436966,0.000001787048,0.000313829,0.6329445,0.0003039588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05497487,0.3181706,0.002695686,0.1502905,0.01586699,0.01240574,0.001766358,0.001176922,0.4426523],"genre_scores_gemma":[0.9812177,0.003831268,0.00216215,0.001481896,0.002132946,0.0003928529,0.0000141525,0.00004790081,0.008719088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9262429,"threshold_uncertainty_score":0.9975812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444673427807121,"score_gpt":0.2784366648997262,"score_spread":0.263989930621655,"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."}}