{"id":"W2273193417","doi":"","title":"과학적 소양에 기반한 과학과 성취기준의 개발 방향 탐색","year":2015,"lang":"ko","type":"article","venue":"교육과학연구","topic":"Education, Safety, and Science Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scientific literacy; Curriculum; Science education; Literacy; Sociology of scientific knowledge; Set (abstract data type); Mathematics education; Science, technology, society and environment education; National Science Education Standards; Engineering ethics; Pedagogy; Sociology; Political science; Psychology; Computer science; Higher education; Social science; Engineering; Comparative education","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002675663,0.0002640008,0.0003542606,0.0001078459,0.001465217,0.0002593015,0.000742841,0.0001821037,0.0007277813],"category_scores_gemma":[0.001279516,0.0002400498,0.0001567553,0.001102625,0.001420773,0.0005584778,0.0001755108,0.0002362473,0.00213798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795004,"about_ca_system_score_gemma":0.001306377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005321991,"about_ca_topic_score_gemma":0.005928694,"domain_scores_codex":[0.9966253,0.0003482871,0.0004267298,0.0005838768,0.00113261,0.0008831634],"domain_scores_gemma":[0.9980202,0.0002482673,0.0001965545,0.0004408589,0.000527395,0.0005667463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002859265,0.00039184,0.1246297,0.00003885314,0.00008175249,0.000009929592,0.4282513,0.00002006379,0.00003301368,0.03234296,0.4002164,0.01395565],"study_design_scores_gemma":[0.0004458747,0.0001702569,0.07067946,0.00005890135,0.00006821851,0.000002773773,0.2053271,0.00004521309,0.00006256877,0.01949117,0.7030752,0.0005732209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.326274,0.0052571,0.00008704734,0.06136537,0.01749536,0.0005497945,0.00003049612,0.0001906834,0.5887501],"genre_scores_gemma":[0.9339098,0.001868844,0.0003560721,0.0009108005,0.003389208,0.00002390336,0.00000554332,0.00001804447,0.05951783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6076357,"threshold_uncertainty_score":0.9998347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1362353021526891,"score_gpt":0.4088198901614659,"score_spread":0.2725845880087768,"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."}}