{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006807764,0.000743175,0.0007369653,0.0003829109,0.0005365161,0.0008183236,0.004880888,0.0004552033,0.2564488],"category_scores_gemma":[0.004793552,0.0008026019,0.0004626776,0.0005776014,0.0007036303,0.001079138,0.005386593,0.001099997,0.7475878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435544,"about_ca_system_score_gemma":0.001035104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002764494,"about_ca_topic_score_gemma":0.0001071737,"domain_scores_codex":[0.9903103,0.001841255,0.00115841,0.004320858,0.001200618,0.001168584],"domain_scores_gemma":[0.9894842,0.00162778,0.0006104917,0.006445399,0.0008719419,0.0009602056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004264065,0.003184048,0.07632998,0.0003945846,0.0007218401,0.0001950316,0.04938427,0.00009430679,0.01612121,0.02634558,0.05570677,0.771096],"study_design_scores_gemma":[0.002224479,0.00003269531,0.1908711,0.001291162,0.0002834027,0.0006053485,0.0005169809,0.0386194,0.03320137,0.04556891,0.6843727,0.002412496],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3979969,0.00003096803,0.1233188,0.003065146,0.006664647,0.001242624,0.0000472416,0.000286828,0.4673468],"genre_scores_gemma":[0.4059622,0.0002799733,0.08938144,0.0008230213,0.002000845,0.0002466732,0.00003308213,0.0001039963,0.5011688],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7686835,"threshold_uncertainty_score":0.9994425,"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."}}