{"id":"W2787268051","doi":"10.19109/jifp.v1i2.1629","title":"PENGEMBANGAN MODUL MULTI REPRESENTASI BERBASIS KONTEKSTUAL PADA MATERI FLUIDA STATIS UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS","year":2018,"lang":"id","type":"article","venue":"Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)","topic":"Educational Curriculum and Learning Methods","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics; Humanities; 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":[0.002478045,0.001202315,0.0008034441,0.002354427,0.002115051,0.00883363,0.001647328,0.002039213,0.02137329],"category_scores_gemma":[0.005840667,0.0007571894,0.0009727413,0.001948617,0.002370611,0.005954723,0.003986903,0.001910212,0.004737875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002864143,"about_ca_system_score_gemma":0.002885489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004519878,"about_ca_topic_score_gemma":0.005766272,"domain_scores_codex":[0.9970022,0.0005444653,0.000204957,0.0005251539,0.001454277,0.0002690229],"domain_scores_gemma":[0.996196,0.00144287,0.000443515,0.0005395001,0.001156483,0.0002215614],"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":[0.0009483536,0.000871938,0.01838181,0.003351091,0.0002404372,0.002280401,0.0122342,0.02004339,0.0998013,0.1660056,0.01731932,0.6585222],"study_design_scores_gemma":[0.0001414966,0.00168916,0.02799019,0.001533524,0.0006289532,0.003900116,0.02394166,0.05566393,0.1586013,0.1205552,0.6048432,0.0005113392],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.272257,0.009577876,0.4086944,0.008044017,0.001083544,0.001198017,0.001359444,0.002587598,0.2951981],"genre_scores_gemma":[0.698158,0.004683042,0.1756362,0.0008425781,0.0001367476,0.0006172776,0.0006136148,0.0005111075,0.1188014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02137329,"threshold_uncertainty_score":0.07150084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528782649044691,"score_gpt":0.3683994529829204,"score_spread":0.3231116264924735,"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."}}