{"id":"W3196799568","doi":"10.24036/abdi.v3i2.120","title":"Pemberdayaan Guru Mata Pelajaran Sosiologi Melalui Literasi Digital Berbasis Quick Response Code di Kecamatan Bissappu Kabupaten Bantaeng","year":2021,"lang":"id","type":"article","venue":"Abdi Jurnal Pengabdian dan Pemberdayaan Masyarakat","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Code (set theory); Art; Computer science; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.005364223,0.00247343,0.002667521,0.001187582,0.002043189,0.005095039,0.005275109,0.001147286,0.001268803],"category_scores_gemma":[0.005085396,0.002550287,0.001599686,0.003498489,0.001195457,0.004499007,0.002866964,0.003690011,0.002173789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182135,"about_ca_system_score_gemma":0.004864227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001707947,"about_ca_topic_score_gemma":0.0003026397,"domain_scores_codex":[0.980028,0.005451976,0.003395554,0.004392717,0.002864838,0.003866947],"domain_scores_gemma":[0.9820095,0.005935985,0.001627968,0.00521541,0.001667721,0.003543441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008446583,0.01043229,0.3688126,0.003089852,0.004030522,0.02725892,0.06240003,0.0004133294,0.04290241,0.0266676,0.1272936,0.3182523],"study_design_scores_gemma":[0.005913055,0.001841133,0.5220517,0.002906326,0.0008293932,0.007185064,0.008125578,0.004086046,0.009875162,0.003181454,0.4279933,0.006011786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461803,0.007525358,0.003794139,0.01754323,0.008717042,0.001471898,0.001933232,0.0006445575,0.01219018],"genre_scores_gemma":[0.9241584,0.002333962,0.03660628,0.002211969,0.003093299,0.0002243001,0.0009564994,0.0004967904,0.02991851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3122405,"threshold_uncertainty_score":0.9996442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237853745277435,"score_gpt":0.3017018766233823,"score_spread":0.269323339170608,"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."}}