{"id":"W7094679347","doi":"","title":"ÐÐ¾Ð´ÑÐ±Ð½Ñ ÑÐ¸ÑÐ¸ ÑÐµÐºÑÐ¾Ð½ÑÐºÐ¸ Ñ Ð½Ð°ÑÑÐ¾Ð³Ð°Ð·Ð¾Ð½Ð¾ÑÐ½Ð¾ÑÑÑ ÐÐ°ÑÑÐ´Ð½Ð¾-ÐÐ°Ð½Ð°Ð´ÑÑÐºÐ¾Ð³Ð¾ Ñ ÐÐ°ÑÑÐ´Ð½Ð¾-Ð£ÐºÑÐ°ÑÐ½ÑÑÐºÐ¾Ð³Ð¾ Ð½Ð°ÑÑÐ¾Ð³Ð°Ð·Ð¾Ð½Ð¾ÑÐ½Ð¸Ñ Ð±Ð°ÑÐµÐ¹Ð½ÑÐ²","year":2016,"lang":"uk","type":"article","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prospecting; Ukrainian; Fossil fuel; Bearing (navigation); Oil exploration; Natural gas","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004635172,0.003400156,0.005094705,0.005729111,0.006219449,0.001996351,0.007028446,0.001378946,0.02106168],"category_scores_gemma":[0.0007633966,0.003589092,0.003558241,0.004403661,0.007291022,0.004568043,0.004292111,0.002587415,0.01580611],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004716869,"about_ca_system_score_gemma":0.002737888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837459,"about_ca_topic_score_gemma":0.002441326,"domain_scores_codex":[0.9767645,0.0008223623,0.004708262,0.007987219,0.001549282,0.008168379],"domain_scores_gemma":[0.9860931,0.001500125,0.004532779,0.004675346,0.0009298023,0.002268837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003564412,0.00331489,0.03015746,0.0009352381,0.006257732,0.0006621957,0.00787452,0.0006707293,0.01507324,0.5590121,0.3580783,0.01439919],"study_design_scores_gemma":[0.01070806,0.00170737,0.00383055,0.0009604152,0.0007464277,0.000123935,0.005985897,0.001782901,0.003062735,0.02400886,0.9414844,0.005598463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4568962,0.01142607,0.008682319,0.008873414,0.0433785,0.006370884,0.03574408,0.001354531,0.427274],"genre_scores_gemma":[0.5307524,0.00358717,0.0008122913,0.0003361451,0.0011367,0.00003848471,0.0007202983,0.0003406937,0.4622758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.583406,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178023932713031,"score_gpt":0.1708920096263045,"score_spread":0.1530896163550014,"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."}}