{"id":"W2947917231","doi":"10.26906/sunz.2019.2.032","title":"ЕНЕРГООЩАДНИЙ ІНКУБАТОР ДЛЯ ФЕРМЕРСЬКИХ ТА ПРИСАДИБНИХ ГОСПОДАРСТВ","year":2019,"lang":"uk","type":"article","venue":"Системи управління навігації та зв’язку Збірник наукових праць","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Medicine","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001960054,0.003876746,0.004004639,0.001822086,0.001130639,0.0006860066,0.004587307,0.004467024,0.01306466],"category_scores_gemma":[0.0004036013,0.004219446,0.001851183,0.002687884,0.001459023,0.002243293,0.001017877,0.005879445,0.03009348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045363,"about_ca_system_score_gemma":0.001161258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423228,"about_ca_topic_score_gemma":0.00111946,"domain_scores_codex":[0.9837655,0.0006891601,0.003758102,0.004066464,0.002231686,0.00548906],"domain_scores_gemma":[0.9897856,0.000940279,0.0008784687,0.006408984,0.0005435502,0.001443119],"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":[0.002246649,0.004019308,0.05179306,0.01039797,0.008989407,0.003270705,0.01257313,0.02060922,0.06896248,0.5411314,0.1798972,0.09610946],"study_design_scores_gemma":[0.02460632,0.006402072,0.07704753,0.005528564,0.003484786,0.001941435,0.01806173,0.04611014,0.02161181,0.1873316,0.5837153,0.02415869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4654997,0.03013881,0.001699441,0.003067987,0.01324275,0.004581218,0.0009780377,0.005951238,0.4748408],"genre_scores_gemma":[0.9579294,0.004941149,0.002393326,0.0009683074,0.001940128,0.0004110764,0.0004064335,0.0008938568,0.03011633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4924297,"threshold_uncertainty_score":0.9973951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004536673029199115,"score_gpt":0.1802645585106479,"score_spread":0.1757278854814488,"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."}}