{"id":"W4301902865","doi":"","title":"&amp;quot;One Laptop per Child&amp;quot; Projects and FATIH Project: A Comparative Examination","year":2016,"lang":"en","type":"article","venue":"","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laptop; Psychology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00463871,0.0002527517,0.0002617452,0.002625376,0.002065324,0.001684788,0.0005740509,0.0004966619,0.004445247],"category_scores_gemma":[0.009179648,0.0003090786,0.0001976042,0.003591651,0.001483766,0.002667967,0.00198135,0.0005208552,0.000359739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200007,"about_ca_system_score_gemma":0.001479833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004893013,"about_ca_topic_score_gemma":0.01161114,"domain_scores_codex":[0.9968041,0.001827247,0.0001437417,0.0002340229,0.0005219423,0.000468916],"domain_scores_gemma":[0.9941323,0.003144047,0.0009271342,0.0002249524,0.0008959476,0.0006755986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005877124,0.001273024,0.2719109,0.001361582,0.00004938023,0.004459903,0.5403916,0.0002931273,0.00217914,0.009203088,0.003105007,0.1651855],"study_design_scores_gemma":[0.00001154973,0.0009500039,0.4649667,0.0003162454,0.00001908818,0.0009186444,0.5165944,0.0001752523,0.0003651394,0.0001765317,0.01548593,0.00002056409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906867,0.000335441,0.0001954326,0.0001119803,0.000008530821,0.00005178773,0.00004388797,0.000003867193,0.008562417],"genre_scores_gemma":[0.9975069,0.0005744422,0.000329875,0.00002146363,0.000006729681,0.00008836998,0.0000530686,0.000004807404,0.001414298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004893013,"threshold_uncertainty_score":0.0245322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07129232104627928,"score_gpt":0.3356963996404219,"score_spread":0.2644040785941426,"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."}}