{"id":"W3202234400","doi":"10.24114/jgk.v5i3.25511","title":"PENINGKATAN HASIL BELAJAR PRAKTEK MENGGUNAKAN METODE PEMBELAJARAN PROBLEM POSING MATA PELAJARAN TEKNIK INSTALASI TENAGA LISTRIK KELAS XI TITL SMK SWASTA MUHAMMADIYAH I PEKANBARU","year":2021,"lang":"en","type":"article","venue":"JGK (Jurnal Guru Kita)","topic":"STEM Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"Universitas Negeri Semarang","keywords":"Mathematics education; Class (philosophy); Test (biology); Action research; Computer science; Psychology; Simulation; Artificial intelligence","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":[],"category_scores_codex":[0.002233266,0.0006935112,0.0008292851,0.0004611612,0.002333657,0.001237007,0.001286053,0.0005164432,0.001950113],"category_scores_gemma":[0.001255158,0.0007174097,0.0004416338,0.001796154,0.0005720081,0.001592307,0.0003664067,0.001196287,0.0006067131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188768,"about_ca_system_score_gemma":0.002818911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848239,"about_ca_topic_score_gemma":0.003598851,"domain_scores_codex":[0.9927129,0.001048816,0.001238088,0.001290291,0.002050495,0.001659372],"domain_scores_gemma":[0.9957111,0.0006149796,0.0007774589,0.001089608,0.0008882735,0.0009185455],"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":[0.001151649,0.007317963,0.1553536,0.002085128,0.003228489,0.003466822,0.3311244,0.002568273,0.06558064,0.09024934,0.2186612,0.1192125],"study_design_scores_gemma":[0.003645285,0.0005351036,0.0553594,0.001361026,0.0007455896,0.0005497282,0.06866318,0.0007178747,0.006544129,0.004474597,0.854569,0.002835157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6118305,0.002813839,0.0008332127,0.02015667,0.003769717,0.001868057,0.0002030097,0.0008046188,0.3577203],"genre_scores_gemma":[0.9671542,0.0002383489,0.005697517,0.0004721773,0.001964753,0.00009663364,0.0001682505,0.0001612936,0.02404683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6359077,"threshold_uncertainty_score":0.9997998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748783249747159,"score_gpt":0.3187765988624113,"score_spread":0.2912887663649397,"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."}}