{"id":"W3027053496","doi":"","title":"자원분배를 통해 알아보는 아동들의 공정함에 대한 이해","year":2018,"lang":"ko","type":"article","venue":"Early childhood education","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distributive justice; Equity (law); Sociology; Psychology; Economics; Political science; Economic Justice; Law; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004579326,0.0003363727,0.0003697644,0.001275104,0.003358736,0.009602222,0.0008174015,0.001787701,0.009239169],"category_scores_gemma":[0.006426136,0.0002627278,0.0003387328,0.001142475,0.0237747,0.006826247,0.002963568,0.002611059,0.001163285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004969962,"about_ca_system_score_gemma":0.006980758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007070213,"about_ca_topic_score_gemma":0.007883578,"domain_scores_codex":[0.9960305,0.001648536,0.0001916774,0.0007301589,0.0009179883,0.0004811408],"domain_scores_gemma":[0.995817,0.001790538,0.0006017905,0.0003605198,0.0009140417,0.0005161815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000017864,0.00003076325,0.001778298,0.0001085835,0.00001825242,0.00007355635,0.009418733,0.0001619,0.0002751373,0.9685432,0.002812129,0.0167616],"study_design_scores_gemma":[0.00002520977,0.00003924224,0.005002668,0.0003437399,0.00003133944,0.0002005979,0.01302113,0.0003794907,0.0006228245,0.8211565,0.1591486,0.00002863083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05782788,0.006171788,0.02971009,0.03842659,0.0004592863,0.000125632,0.000218996,0.0000676051,0.8669921],"genre_scores_gemma":[0.9539058,0.002520372,0.009332099,0.003054402,0.0002221256,0.00009671908,0.00007194059,0.00004873058,0.03074788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009602222,"threshold_uncertainty_score":0.0360598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03519202832647211,"score_gpt":0.3436000653268614,"score_spread":0.3084080370003893,"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."}}