{"id":"W1941232305","doi":"10.21831/jpipfip.v8i1.4927","title":"PEMBELAJARAN KONSTRUKTIVISTIK MENINGKATKAN CARA BERPIKIR DIVERGEN SISWA SD","year":2015,"lang":"id","type":"article","venue":"JURNAL PENELITIAN ILMU PENDIDIKAN","topic":"Mathematics Education and Pedagogy","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Humanities; Psychology; Mathematics; Physics; Art","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":[0.001853058,0.001633906,0.0008920562,0.000872437,0.0006103052,0.00392597,0.00139626,0.001278487,0.02477141],"category_scores_gemma":[0.004847631,0.0006729169,0.001640211,0.0007191888,0.0007978973,0.003405641,0.001692407,0.002057464,0.004427852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021838,"about_ca_system_score_gemma":0.003896455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02389339,"about_ca_topic_score_gemma":0.02355361,"domain_scores_codex":[0.9990482,0.0002227693,0.00006614977,0.0002098157,0.0003501633,0.0001030366],"domain_scores_gemma":[0.9981535,0.0008143532,0.0001442986,0.0001960423,0.000583443,0.0001083138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001851757,0.001311199,0.0494081,0.002498061,0.0007070932,0.0009446751,0.002436997,0.4197149,0.03772936,0.08608226,0.02823736,0.3690783],"study_design_scores_gemma":[0.000207919,0.001273055,0.04580963,0.000693681,0.000691561,0.0004872963,0.003774639,0.7549305,0.02444083,0.07531402,0.09205609,0.0003208728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3045944,0.00309862,0.506191,0.005591018,0.0008118341,0.001048461,0.005204302,0.002834979,0.1706255],"genre_scores_gemma":[0.7949339,0.00310921,0.07825774,0.0006927825,0.00009788972,0.0008663977,0.00353439,0.0004480731,0.1180596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02477141,"threshold_uncertainty_score":0.08286864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1328848520784863,"score_gpt":0.3612282543525978,"score_spread":0.2283434022741115,"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."}}