{"id":"W3187027873","doi":"10.20961/shes.v3i4.53401","title":"The Improvement of Civic Education Instructional Quality Throught Make a Match Model Assisted Picture Card Media","year":2021,"lang":"en","type":"article","venue":"Social Humanities and Educational Studies (SHEs) Conference Series","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Animal science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003204003,0.0003315089,0.0002655807,0.0007218974,0.0008188624,0.003356776,0.0009409098,0.0005937798,0.05033772],"category_scores_gemma":[0.008624936,0.0002428947,0.000461143,0.0005582096,0.0005619038,0.002157845,0.002364563,0.0009324468,0.00663026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00192468,"about_ca_system_score_gemma":0.004286492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004606331,"about_ca_topic_score_gemma":0.008860574,"domain_scores_codex":[0.9977078,0.0007353264,0.0001031088,0.0003163387,0.000925899,0.0002114213],"domain_scores_gemma":[0.9961352,0.0006941299,0.0004215858,0.0009491685,0.0009923532,0.0008075219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007280556,0.005092931,0.02630128,0.00058704,0.00006016584,0.0001378012,0.001495279,0.002810468,0.009829159,0.01200101,0.04536251,0.8955943],"study_design_scores_gemma":[0.001652238,0.005984053,0.3774001,0.001071679,0.0004180178,0.0004993803,0.01309849,0.03190381,0.08842069,0.01757428,0.4616676,0.0003096763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5994717,0.0004027784,0.06392021,0.008350667,0.001195431,0.002676337,0.002048078,0.003342356,0.3185925],"genre_scores_gemma":[0.8099578,0.0003559999,0.1070325,0.0008604204,0.0001255128,0.000882129,0.001002879,0.0003515933,0.07943127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05033772,"threshold_uncertainty_score":0.1683964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07882357424354562,"score_gpt":0.3243568231843445,"score_spread":0.2455332489407989,"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."}}