{"id":"W4283780774","doi":"10.56354/jendelainovasi.v5i1.110","title":"ANALISIS SEKTOR UNGGULAN UNTUK MEWUJUDKAN KOTA MAGELANG YANG MAJU DAN BERDAYA SAING","year":2022,"lang":"id","type":"article","venue":"Jurnal Jendela Inovasi Daerah","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Business administration; Business; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001817491,0.0003918925,0.0004178147,0.001654315,0.0008238441,0.003265089,0.0005943538,0.0004672013,0.01263419],"category_scores_gemma":[0.006788125,0.0002189847,0.0006005181,0.003468483,0.0004116846,0.002104891,0.001584256,0.000912822,0.002214626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234855,"about_ca_system_score_gemma":0.002431919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03592826,"about_ca_topic_score_gemma":0.04609927,"domain_scores_codex":[0.9984272,0.000289371,0.0001463249,0.0002792975,0.0006498481,0.0002081244],"domain_scores_gemma":[0.9935376,0.002646015,0.0008110853,0.000412119,0.002301304,0.0002918883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004090279,0.0001347437,0.8413478,0.0008122534,0.0002379,0.0009672795,0.01003523,0.004584232,0.002679036,0.009111811,0.009276943,0.1204038],"study_design_scores_gemma":[0.00001394384,0.0002048267,0.8635752,0.0003164232,0.000179003,0.0003955066,0.04422253,0.004498428,0.00409659,0.002472207,0.07996689,0.00005852024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528008,0.001052908,0.003632359,0.0007502907,0.00006545836,0.0001316284,0.007630937,0.0001108568,0.03382468],"genre_scores_gemma":[0.9561278,0.001080085,0.004699806,0.0001141436,0.00002108514,0.0001488238,0.006178937,0.00006387785,0.03156542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03592826,"threshold_uncertainty_score":0.07143825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285426167864923,"score_gpt":0.2123639605850797,"score_spread":0.1838213437985874,"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."}}