{"id":"W6909334235","doi":"10.34983/dtipb.2020.46.70.001","title":"МЕХАНИЗМ УПРАВЛЕНИЯ ИНВЕСТИЦИОННОЙ ДЕЯТЕЛЬНОСТЬЮ ПРЕДПРИЯТИЯ","year":2020,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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"],"consensus_categories":[],"category_scores_codex":[0.0001581693,0.000596938,0.0006166796,0.0001493259,0.000329493,0.0003861777,0.0004495474,0.0005439211,0.0005244603],"category_scores_gemma":[0.0003567988,0.0006336279,0.0003791647,0.0007114029,0.0001671009,0.001273849,0.00008670464,0.0003716795,0.0002461356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930243,"about_ca_system_score_gemma":0.000166302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004611616,"about_ca_topic_score_gemma":0.000009595368,"domain_scores_codex":[0.9972503,0.00002453787,0.0008483781,0.0007145655,0.0004133785,0.0007488598],"domain_scores_gemma":[0.9988953,0.00006694136,0.0001444704,0.0004308132,0.0001299753,0.0003324439],"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":[0.0006765461,0.0001790005,0.001562395,0.002872427,0.000994438,0.0001004511,0.005152986,0.02436878,0.0007539082,0.6999182,0.04193899,0.2214819],"study_design_scores_gemma":[0.006354603,0.003513936,0.005958962,0.0009688626,0.0006849516,0.00004664662,0.00220994,0.1563846,0.003372004,0.2465841,0.5692572,0.004664145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004035925,0.005846365,0.7363793,0.004722503,0.0009894117,0.001436512,0.005143076,0.001624251,0.2398227],"genre_scores_gemma":[0.9947772,0.0007296785,0.002234511,0.0001915546,0.0005049914,0.00005727598,0.0007154779,0.000142472,0.000646861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9907413,"threshold_uncertainty_score":0.9996115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426249616960482,"score_gpt":0.2215504422941817,"score_spread":0.2072879461245768,"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."}}