{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004773105,0.001416711,0.001721938,0.0006511313,0.004430927,0.001494018,0.002308633,0.000991588,0.004653664],"category_scores_gemma":[0.002178348,0.001475179,0.0009033049,0.002273358,0.002629299,0.001558203,0.0006304526,0.002101115,0.001472496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008903871,"about_ca_system_score_gemma":0.001278966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263379,"about_ca_topic_score_gemma":0.004344331,"domain_scores_codex":[0.985005,0.004754202,0.002192625,0.002421342,0.00290368,0.002723133],"domain_scores_gemma":[0.9924693,0.001244124,0.001417843,0.001573599,0.00158169,0.001713462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001099249,0.004832319,0.1489276,0.0007070467,0.002670062,0.0009007911,0.3127232,0.00009922347,0.01244478,0.009176929,0.3243279,0.182091],"study_design_scores_gemma":[0.003416728,0.001996428,0.1844005,0.001045766,0.0007730414,0.0002887746,0.05144704,0.0008425947,0.004116207,0.0007632912,0.747866,0.003043683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413915,0.002563456,0.0007801756,0.006878536,0.008018506,0.001395866,0.0005313974,0.0004279066,0.03801261],"genre_scores_gemma":[0.895496,0.001260735,0.02413009,0.001236032,0.007868193,0.0001841149,0.0003369173,0.0003147892,0.06917319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4235381,"threshold_uncertainty_score":0.9998583,"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."}}