{"id":"W4390070889","doi":"10.34123/semnasoffstat.v2023i1.1714","title":"Implementasi Geographically Weighted Regression (GWR) pada Determinasi Faktor Produksi Beras di Indonesia Tahun 2021","year":2023,"lang":"id","type":"article","venue":"Seminar Nasional Official Statistics","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Geography","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006044818,0.0008300691,0.0007537012,0.000141479,0.001392177,0.0003174601,0.0007974789,0.0004141037,0.001182505],"category_scores_gemma":[0.0001670412,0.0003884886,0.0002934883,0.002220141,0.0002764783,0.0002357726,0.0009836663,0.0005051688,0.0009654387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762611,"about_ca_system_score_gemma":0.0001223739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002515175,"about_ca_topic_score_gemma":0.0007846358,"domain_scores_codex":[0.9943328,0.0002927602,0.001175788,0.001200126,0.001661691,0.001336807],"domain_scores_gemma":[0.9975574,0.000670235,0.0006083873,0.0001972485,0.0004659518,0.0005007823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000614365,0.0009094085,0.03667251,0.0002153036,0.000303847,0.001337475,0.0004925109,0.000005716071,0.03855918,0.004927079,0.3858749,0.5300877],"study_design_scores_gemma":[0.000639772,0.0009938821,0.7336529,0.0004131572,0.000211296,0.00001978822,0.001163117,0.0002416744,0.001681019,0.001044796,0.2587368,0.001201724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988895,0.0004188303,0.0000966288,0.00409095,0.002207952,0.001562775,0.002217123,0.0002156535,0.0002950598],"genre_scores_gemma":[0.9364662,0.005507361,0.003788765,0.000709408,0.004345042,0.0002016292,0.01798493,0.00003995377,0.03095675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6969804,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160578868139529,"score_gpt":0.2503802609959815,"score_spread":0.2343223741820286,"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."}}