{"id":"W3019726953","doi":"10.33578/jpk-unri.v4i1.7088","title":"PENERAPAN MODEL PEMBELAJARAN CORE (CONNECTING, ORGANIZING, REFLECTING AND EXTENDING) UNTUK MENINGKATKAN PRESTASI BELAJAR PESERTA DIDIK PADA POKOK BAHASAN KESETIMBANGAN KELARUTAN (KSP) DI KELAS XI IPA SMAN 4 PEKANBARU","year":2019,"lang":"en","type":"article","venue":"Jurnal Pendidikan Kimia Universitas Riau","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics education; Class (philosophy); Core (optical fiber); Quasi-experiment; Test (biology); Mathematics; Computer science; Artificial intelligence; Population","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"],"consensus_categories":[],"category_scores_codex":[0.001193712,0.0007880741,0.0008212654,0.0007564009,0.001435227,0.0006057839,0.002073475,0.0003418222,0.00042823],"category_scores_gemma":[0.0003169033,0.0008084679,0.0002792662,0.001030577,0.0001640591,0.002096976,0.001046749,0.001230174,0.00008199738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005635851,"about_ca_system_score_gemma":0.0006772684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004479135,"about_ca_topic_score_gemma":0.0002192068,"domain_scores_codex":[0.9949051,0.0003786593,0.0007209989,0.001660301,0.001023729,0.001311182],"domain_scores_gemma":[0.9960476,0.0005690332,0.0007242272,0.001319793,0.0003487659,0.0009906139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001054023,0.002313273,0.2363515,0.001029909,0.001761459,0.001424609,0.1167599,0.007846416,0.2279165,0.3425845,0.01431078,0.04664713],"study_design_scores_gemma":[0.02598327,0.007393242,0.1284974,0.002554029,0.002650323,0.005638798,0.1038887,0.5372212,0.0463074,0.03567456,0.08945988,0.01473113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724964,0.0005546444,0.01133189,0.001390441,0.001526204,0.0007038564,0.00003844168,0.0003680019,0.0115901],"genre_scores_gemma":[0.9293534,0.0001361084,0.06762274,0.0002524573,0.0003771498,0.000008057091,0.00005599384,0.0001126305,0.002081439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5293748,"threshold_uncertainty_score":0.9998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127479844440551,"score_gpt":0.3043579555141405,"score_spread":0.263083157069735,"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."}}