{"id":"W27836336","doi":"10.1016/j.neurobiolaging.2016.09.011","title":"Meningkatkan Keterampilan Menyimak Isi Teks Cerita Rakyat Melalui Model Pembelajran Snowball Throwing Kelas VC SDN Kesatrian 1 Kota Malang","year":2010,"lang":"en","type":"article","venue":"SKRIPSI Jurusan Kependidikan Sekolah Dasar & Prasekolah - Fakultas Ilmu Pendidikan UM","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; Novartis Pharmaceuticals Corporation; Servier; GE Healthcare; BioClinica; Alzheimer's Disease Neuroimaging Initiative; Biogen; Northern California Institute for Research and Education; Merck; Alzheimer's Drug Discovery Foundation; Roche; National Institute on Aging; Alzheimer's Association; Eli Lilly and Company","keywords":"Throwing; Psychology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004628598,0.0008584841,0.0005899896,0.0006366989,0.0007175591,0.001682904,0.0004759806,0.0005669789,0.0233665],"category_scores_gemma":[0.0005739338,0.0002709086,0.0005332802,0.0003846067,0.0004713075,0.0009855214,0.001202886,0.0008645311,0.008310782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006792027,"about_ca_system_score_gemma":0.001220235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003641939,"about_ca_topic_score_gemma":0.004621586,"domain_scores_codex":[0.9998032,0.00002946884,0.00001534757,0.00004750108,0.00007329694,0.00003112694],"domain_scores_gemma":[0.9998232,0.00002652326,0.00002496806,0.0000175634,0.00007811731,0.00002983148],"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":[0.002375926,0.0007770582,0.01615816,0.001164638,0.0001323962,0.002532026,0.0009789222,0.01033296,0.05659386,0.01548577,0.03857978,0.8548885],"study_design_scores_gemma":[0.0003611725,0.003770518,0.08698855,0.001523007,0.0005376986,0.009843233,0.003783745,0.05571865,0.1082991,0.03654805,0.6921533,0.0004730056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5243545,0.0312956,0.08908356,0.006913874,0.003316311,0.0008536637,0.003200866,0.004129174,0.3368526],"genre_scores_gemma":[0.7619651,0.0175081,0.0435154,0.0007199987,0.0002924581,0.0002863396,0.00252799,0.0004117973,0.1727728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0233665,"threshold_uncertainty_score":0.07816875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736143914381697,"score_gpt":0.2925891067561583,"score_spread":0.2752276676123413,"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."}}