{"id":"W2767855569","doi":"","title":"Justice for Girls","year":2007,"lang":"en","type":"article","venue":"Parity","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Economic Justice; Premise; Inequality; Criminology; Sociology; Political science; Economic growth; Law; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002106473,0.00002717779,0.0000419307,0.00001348944,0.0009131362,0.00003730071,0.00008148224,0.00005528596,0.0006896867],"category_scores_gemma":[0.002543941,0.00003013496,0.00002781828,0.00021662,0.00006242738,0.00009737137,0.000005279283,0.00006048179,0.0001897322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004638738,"about_ca_system_score_gemma":0.0001119433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005505147,"about_ca_topic_score_gemma":0.001609646,"domain_scores_codex":[0.9995007,0.000061238,0.00007145554,0.00007288122,0.0001139403,0.0001797955],"domain_scores_gemma":[0.9985222,0.001206436,0.00004072471,0.00005487886,0.00008973148,0.00008608996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003103181,0.0000838413,0.01278127,0.00001058786,0.000006959046,3.518837e-7,0.01175607,1.922599e-7,0.00001384476,0.8483754,0.1040619,0.02287852],"study_design_scores_gemma":[0.00006867293,0.000004135463,0.01940224,5.799756e-7,0.00002140222,6.814206e-8,0.005518816,0.000001128588,0.00003591089,0.006563654,0.9683398,0.00004362511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02117992,0.00009737269,0.01504873,0.03324878,0.002813353,0.000306054,0.00000291821,0.00009364109,0.9272093],"genre_scores_gemma":[0.9797205,0.00001524296,0.002599986,0.001504803,0.001044117,0.000008822535,0.000002137969,0.000003421065,0.01510093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9585406,"threshold_uncertainty_score":0.7551585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1362030668721187,"score_gpt":0.487509737619737,"score_spread":0.3513066707476182,"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."}}