{"id":"W4249985098","doi":"10.1080/00085006.2016.1267900","title":"Annual Index/ Index Annuel","year":2016,"lang":"en","type":"article","venue":"Canadian Slavonic Papers","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002889425,0.0001548156,0.0002774938,0.0003466221,0.0001866246,0.00004352177,0.0003052551,0.000106864,0.01399159],"category_scores_gemma":[0.0001212472,0.0001452769,0.0001090496,0.0001816252,0.0001964838,0.000295893,0.00004742061,0.00007499767,0.02198366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005716782,"about_ca_system_score_gemma":0.0001779389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03240943,"about_ca_topic_score_gemma":0.05152079,"domain_scores_codex":[0.9985164,0.000006211407,0.0003194474,0.0004998966,0.00002799996,0.0006300112],"domain_scores_gemma":[0.9990372,0.00003022145,0.0001164162,0.0003585122,0.00002809821,0.0004295731],"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":[0.00001364037,0.00002220314,0.218996,0.000009479411,0.000220677,0.00003693622,0.001391332,0.00001761449,0.000013842,0.1492125,0.6118044,0.01826145],"study_design_scores_gemma":[0.0004929174,0.00001327248,0.04474466,0.000009407237,0.000002537756,0.000002625163,0.0005532104,0.00002270778,0.000002923472,0.001896158,0.9520057,0.0002538639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02714772,0.0008835429,0.00003735703,0.002101382,0.002669664,0.0001407046,0.00496364,0.00004453201,0.9620115],"genre_scores_gemma":[0.765902,0.0001051639,0.00001145487,0.0007859913,0.00008855813,0.00001130035,0.00000323268,0.00001521674,0.2330771],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7387543,"threshold_uncertainty_score":0.9869097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167494974629207,"score_gpt":0.1794448188227189,"score_spread":0.1626953213597982,"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."}}