{"id":"W2955645417","doi":"","title":"RESENSI BUKU KEGELISAHAN, REFLEKSI, DAN NOSTALGIA: MEMBACA FRISCHA ASWARINI DALAM KUMPULAN PUISI TANDA BAGI TANYA","year":2019,"lang":"ms","type":"article","venue":"","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","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":[0.002847772,0.0008416266,0.001037464,0.0004223739,0.0003918268,0.0008041096,0.002390622,0.000580379,0.001114266],"category_scores_gemma":[0.001104438,0.0007430003,0.0003956126,0.001376,0.0002685039,0.001176311,0.001411264,0.001227856,0.00234878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002736074,"about_ca_system_score_gemma":0.001013709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005982276,"about_ca_topic_score_gemma":0.0001990965,"domain_scores_codex":[0.9923396,0.0008370155,0.001265443,0.002152801,0.001824207,0.001580961],"domain_scores_gemma":[0.9927052,0.00154727,0.0005187574,0.003205343,0.0008992534,0.001124228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002526753,0.00210547,0.04246884,0.0006870389,0.0007416027,0.000393598,0.01602848,0.0001722293,0.03500563,0.6314912,0.06894032,0.2017129],"study_design_scores_gemma":[0.003144617,0.001458675,0.04394715,0.0005888682,0.0001948714,0.0002903416,0.004418019,0.01747138,0.02816777,0.0111579,0.8861922,0.002968232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6820889,0.002561786,0.02927587,0.03182456,0.03110037,0.002673191,0.00006746469,0.000647225,0.2197607],"genre_scores_gemma":[0.4171367,0.0008773693,0.4385723,0.003779407,0.003094779,0.00007947264,0.000112824,0.0001862446,0.136161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8172519,"threshold_uncertainty_score":0.9997988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227915132872132,"score_gpt":0.3036308444967359,"score_spread":0.2813516931680146,"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."}}