{"id":"W7132506153","doi":"","title":"Датиране и прогнозиране на икономическия цикъл на България","year":2018,"lang":"","type":"other","venue":"Bulgarian Portal for Open Science","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Quarter (Canadian coin); Index (typography); Stock (firearms); Real gross domestic product; Logistic regression","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","open_science","insufficient_payload"],"category_scores_codex":[0.01938904,0.004441164,0.004576948,0.003859888,0.006402482,0.0122047,0.04789478,0.002235533,0.1342403],"category_scores_gemma":[0.004547738,0.00450642,0.001603368,0.01035547,0.02298867,0.00658772,0.01465285,0.00158941,0.1939548],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687248,"about_ca_system_score_gemma":0.02403934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002670362,"about_ca_topic_score_gemma":0.002648037,"domain_scores_codex":[0.9674235,0.0004268621,0.004541704,0.01199736,0.007228667,0.00838191],"domain_scores_gemma":[0.975154,0.0004408671,0.006022167,0.01041904,0.003259173,0.004704682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001008853,0.001482226,0.0008055896,0.0003385425,0.0005283484,0.0004007168,0.0008625225,0.00002090512,0.005072847,0.04568117,0.9342753,0.009522959],"study_design_scores_gemma":[0.005429182,0.002117603,0.001410856,0.002029191,0.0008307857,0.0006544663,0.0007349916,0.001949066,0.003990927,0.003976778,0.9707078,0.006168345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009332921,0.0007818471,0.001653857,0.0007623777,0.0148148,0.02062014,0.004855741,0.0005931046,0.9549848],"genre_scores_gemma":[0.02422332,0.0000909071,0.02468311,0.001116214,0.004411073,0.001792695,0.0006084507,0.00421151,0.9388627],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05971453,"threshold_uncertainty_score":0.9990598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269116439775444,"score_gpt":0.3568710519760495,"score_spread":0.3141798875782951,"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."}}