{"id":"W2969824606","doi":"10.32938/jpm.v1i1.185","title":"PENGGUNAAN REGRESI LINEAR MULTIPEL DAN METODE KUADRAT TERKECIL UNTUK MENGANALISISFAKTOR-FAKTOR YANG MEMPENGARUHI HASIL PRODUKSI JAGUNG DI KABUPATEN BELU","year":2019,"lang":"id","type":"article","venue":"RANGE Jurnal Pendidikan Matematika","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics","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":[0.002207826,0.001647542,0.002023091,0.0001998377,0.001365252,0.001091992,0.002149831,0.0006518997,0.005080395],"category_scores_gemma":[0.0001896548,0.0007599185,0.0009597254,0.001259119,0.000226116,0.001610085,0.001105902,0.001180243,0.005133799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004844007,"about_ca_system_score_gemma":0.0000931544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007990836,"about_ca_topic_score_gemma":0.0009329278,"domain_scores_codex":[0.9905132,0.0009802624,0.002185871,0.002040566,0.00223053,0.002049573],"domain_scores_gemma":[0.9960431,0.0004178017,0.001473615,0.0006811448,0.0005190494,0.0008652638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002637119,0.003689118,0.4280334,0.00991671,0.005706307,0.001505413,0.01439391,0.0001849793,0.3499601,0.00524098,0.1307541,0.04797786],"study_design_scores_gemma":[0.003182888,0.001264857,0.8453577,0.001826759,0.00103312,0.000135892,0.008641193,0.0008533191,0.01080824,0.0001538707,0.1230105,0.003731716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755644,0.002707464,0.000008286569,0.004823205,0.002404888,0.003937219,0.0001879853,0.0003880754,0.009978545],"genre_scores_gemma":[0.931951,0.001539673,0.0005112117,0.0004382687,0.001677971,0.0001552691,0.0007147632,0.00004485272,0.06296702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4173242,"threshold_uncertainty_score":0.999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978154415489602,"score_gpt":0.2264960331175723,"score_spread":0.2067144889626763,"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."}}