{"id":"W3013258648","doi":"","title":"VAZ: ORIGIN, DEVELOPMENT, THE CHARACTERISTIC OF MODELS","year":2011,"lang":"ru","type":"other","venue":"SibFU Digital Repository (Siberian Federal University)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008685573,0.0006709379,0.000741886,0.0003940421,0.001439259,0.001083305,0.0009261247,0.0003174006,0.00316894],"category_scores_gemma":[0.00001546697,0.0005748815,0.0003863547,0.0001599791,0.0009637722,0.001003006,0.0003787245,0.0004329927,0.0004088777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855115,"about_ca_system_score_gemma":0.0006733343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005140004,"about_ca_topic_score_gemma":0.00134499,"domain_scores_codex":[0.9975383,0.0001366916,0.0006363075,0.0006814394,0.0004368611,0.000570391],"domain_scores_gemma":[0.9978613,0.00007200229,0.0008697955,0.0006088287,0.0003474998,0.0002405956],"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":[0.001350423,0.002657166,0.006271315,0.001812813,0.00640674,0.00215038,0.03416954,0.00001676068,0.0008624126,0.8630158,0.07037517,0.01091149],"study_design_scores_gemma":[0.0005138852,0.000167493,0.001160361,0.0003940646,0.0001592212,0.00001364044,0.001795657,0.00001426557,0.0002554128,0.000855673,0.9938997,0.0007706053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05501907,0.0001424117,0.0000393161,0.00002152371,0.001622751,0.0005051926,0.0002538997,0.00007710058,0.9423187],"genre_scores_gemma":[0.382797,0.00004879221,0.000009396366,0.00002479609,0.0004097761,0.000001409642,0.00004540657,0.0001014636,0.6165619],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9235246,"threshold_uncertainty_score":0.9999537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02997005891493169,"score_gpt":0.1843853922680691,"score_spread":0.1544153333531374,"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."}}