{"id":"W2280165617","doi":"","title":"The Knowledge Box: Can a technology bring schooling to children in crisis?","year":2010,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Global Affairs Canada","funders":"","keywords":"Political science; Economic growth; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002752967,0.0005589416,0.0004801331,0.0006836848,0.005170605,0.007162229,0.0008461185,0.007946252,0.04879714],"category_scores_gemma":[0.01196264,0.0002176801,0.0003882808,0.0006902632,0.009590561,0.01788576,0.003771169,0.005879786,0.00620724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825079,"about_ca_system_score_gemma":0.005470683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004665364,"about_ca_topic_score_gemma":0.006867761,"domain_scores_codex":[0.9987527,0.0006687493,0.00004771018,0.000111342,0.0002136306,0.000205802],"domain_scores_gemma":[0.9948816,0.003039252,0.0003216651,0.0001680782,0.0007300032,0.0008593985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001322317,0.0002320179,0.004068878,0.0009611881,0.00003098492,0.001608367,0.04957885,0.0002353907,0.0005906378,0.3759531,0.4378527,0.1287556],"study_design_scores_gemma":[0.00006010441,0.0001166416,0.003279665,0.002702745,0.00006042793,0.0007106043,0.109848,0.000218657,0.0007047228,0.1902944,0.691927,0.00007712349],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01035795,0.00620471,0.002310245,0.7662979,0.005652559,0.00004033229,0.0002180593,0.00007326918,0.208845],"genre_scores_gemma":[0.5957006,0.02747373,0.006464634,0.2108592,0.006830248,0.0003274472,0.0003063021,0.0002115506,0.1518262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04879714,"threshold_uncertainty_score":0.1632426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973200239502367,"score_gpt":0.3146565487788747,"score_spread":0.2949245463838511,"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."}}