{"id":"W6887727652","doi":"10.17605/osf.io/539uj","title":"PENGEMBANGAN LITERASI DI PESANTREN MODERN INTERNASIONAL DEA MALELA","year":2018,"lang":"id","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canadian literature; Federal court; Government (linguistics)","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":[0.001128813,0.0004043797,0.0003373805,0.0009870877,0.001912047,0.002889151,0.0005263002,0.0005000834,0.03596953],"category_scores_gemma":[0.001615324,0.0002047676,0.0002958273,0.001068622,0.0006677455,0.001795725,0.0027119,0.001286108,0.007624565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456616,"about_ca_system_score_gemma":0.00268129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003772572,"about_ca_topic_score_gemma":0.01150558,"domain_scores_codex":[0.9992689,0.0001196041,0.0000477874,0.00009592147,0.000283038,0.0001847266],"domain_scores_gemma":[0.9987778,0.0001399587,0.0001467166,0.00006915731,0.0004475703,0.0004188537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005989703,0.0007288929,0.1481856,0.001355825,0.00006574328,0.001243834,0.04069585,0.0003021937,0.008761016,0.04403512,0.09747806,0.6565489],"study_design_scores_gemma":[0.00002268524,0.0003950229,0.1804634,0.0006294399,0.00003769017,0.0009376918,0.03201163,0.0001849458,0.003559316,0.003239035,0.7784534,0.00006568374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5723532,0.007713913,0.003428172,0.008104161,0.0009233859,0.0002307738,0.002856304,0.0002887167,0.4041013],"genre_scores_gemma":[0.6828299,0.006611464,0.005486958,0.001150208,0.0002100816,0.0002707886,0.002209953,0.0001303358,0.3011003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03596953,"threshold_uncertainty_score":0.12033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943476122731016,"score_gpt":0.3097552359333808,"score_spread":0.2803204747060706,"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."}}