{"id":"W6894193899","doi":"10.5281/zenodo.7675390","title":"AMERIKA ADABIYOTIDA AMIR TEMUR SIYMOSI","year":2023,"lang":"tr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Government (linguistics); Context (archaeology)","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":["insufficient_payload"],"category_scores_codex":[0.002033477,0.0002392279,0.0002489781,0.0004849665,0.008125462,0.001456028,0.001309862,0.000123617,0.1011178],"category_scores_gemma":[0.002280588,0.0002635692,0.00009671011,0.004507456,0.00078041,0.0004261557,0.001100538,0.00039258,0.02925386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002728181,"about_ca_system_score_gemma":0.00001865454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004725172,"about_ca_topic_score_gemma":0.00002968915,"domain_scores_codex":[0.9966568,0.0006704371,0.0004549171,0.0006194484,0.0008245935,0.0007738046],"domain_scores_gemma":[0.997547,0.00008716287,0.0002349925,0.0004459044,0.001427961,0.0002569549],"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":[0.00002054077,0.0001479573,0.0000509372,0.00007671089,0.00008792862,0.000009190338,0.04182178,0.000009006326,0.0005776929,0.02399372,0.803682,0.1295225],"study_design_scores_gemma":[0.0002871863,0.0001155622,0.006633531,0.00006100812,0.00002124536,0.000007161675,0.05646822,0.00006572522,0.00007059847,0.0002137005,0.9357769,0.0002791542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09814007,0.0005218128,0.0002079364,0.02085589,0.001498098,0.001086655,0.0004363103,0.00364365,0.8736096],"genre_scores_gemma":[0.9434575,0.002337278,0.0001286119,0.0008283858,0.001537132,2.115163e-7,0.001999615,0.001733547,0.04797765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8453175,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06706703867102518,"score_gpt":0.3284550674514582,"score_spread":0.261388028780433,"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."}}