{"id":"W4250214565","doi":"10.31227/osf.io/kwbmt","title":"HASIL BELAJAR SISWA DALAM PEMBELAJARAN PKn DENGAN MODEL SNOWBALL THROWING DIKELAS V SDN 07 BATANG KAPAS PESISIR SELATAN","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Throwing; Mathematics education; Subject (documents); Class (philosophy); Psychology; Action research; Pedagogy; Computer science; Physics; Artificial intelligence; Library science","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"],"consensus_categories":[],"category_scores_codex":[0.001964004,0.0009598823,0.001108578,0.0004345409,0.0003767748,0.0007211044,0.004329576,0.0007927752,0.0001292135],"category_scores_gemma":[0.0005400533,0.000896325,0.0004990611,0.0004412502,0.0001343901,0.0009352865,0.003577311,0.00194479,0.0004747264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305397,"about_ca_system_score_gemma":0.00186659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001234391,"about_ca_topic_score_gemma":0.00005749088,"domain_scores_codex":[0.993737,0.0004654779,0.001055748,0.002309276,0.001332399,0.001100079],"domain_scores_gemma":[0.9933463,0.001297769,0.0006672027,0.003605927,0.0004670922,0.0006157513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005902591,0.00221245,0.01437917,0.001950051,0.001303832,0.0001504892,0.03539678,0.5106483,0.001876901,0.3302055,0.01643395,0.08538355],"study_design_scores_gemma":[0.0007561101,0.00009517586,0.006174152,0.0006137041,0.0001724178,0.00003863291,0.0006817622,0.928839,0.001034847,0.05053465,0.00907759,0.001981986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1192109,0.001077918,0.8524005,0.002819274,0.004927064,0.001063865,0.00003383631,0.0006528203,0.01781382],"genre_scores_gemma":[0.3614644,0.0002051688,0.6297166,0.001289101,0.0007478742,0.0001503663,0.00006443248,0.00009100695,0.006270994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4181907,"threshold_uncertainty_score":0.9993488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.053174935149917,"score_gpt":0.32171257240146,"score_spread":0.2685376372515429,"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."}}