{"id":"W4292588996","doi":"10.26565/2524-2547-2021-62-03","title":"FORMATION OF PRODUCTION GROWTH POINTS ON THE BASIS OF MINERAL - RAW MATERIAL RESOURCES AS A FACTOR OF IMPROVEMENT OF THE TERRITORIAL STRUCTURE OF THE INDUSTRY OF THE REPUBLIC OF KARAKALPAKSTAN","year":2021,"lang":"en","type":"article","venue":"Social Economics","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Natural resource; Capitalization; Business; Natural resource economics; Economics; Economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001123558,0.00009049329,0.0002328976,0.0000182688,0.00003769267,0.000003235578,0.000187715,0.0001066376,0.00001736573],"category_scores_gemma":[0.00008641741,0.00005361383,0.0001304618,0.00008458411,0.0001622663,0.00004991938,0.0001040951,0.0001150817,2.297307e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007569151,"about_ca_system_score_gemma":0.00002030078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001650798,"about_ca_topic_score_gemma":0.00006099961,"domain_scores_codex":[0.9992628,0.00003798912,0.0004333058,0.00006971281,0.0001217139,0.00007450714],"domain_scores_gemma":[0.9993282,0.00002957669,0.0003891216,0.0002104193,0.00003580324,0.000006897395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008985451,0.00005873962,0.002732133,0.0005233937,0.0002416395,1.418738e-8,0.007822772,0.008657349,0.978117,0.0008638396,0.0002263512,0.0006669031],"study_design_scores_gemma":[0.0001914943,0.00004061931,0.04814913,0.00005153515,0.00002835484,3.415147e-7,0.001539389,0.00006493315,0.9495476,0.0003046868,0.00003924809,0.00004262185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979997,0.00001267494,0.000001458764,0.0002968206,0.001076041,0.0001642547,0.0002991649,0.000003142566,0.0001467281],"genre_scores_gemma":[0.9997342,0.0000152307,0.00001520698,0.0000043104,0.0002022569,0.000002820695,0.000003222037,0.00001046974,0.00001225564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.045417,"threshold_uncertainty_score":0.2186308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005872336621589889,"score_gpt":0.1645346858641514,"score_spread":0.1586623492425615,"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."}}