{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005706863,0.0004634888,0.0003219745,0.0005261698,0.002214972,0.002585745,0.0003598858,0.0008998832,0.1112672],"category_scores_gemma":[0.0006442192,0.0002192545,0.0002236935,0.0006561836,0.0008357041,0.001393531,0.001563712,0.001870561,0.0330947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173327,"about_ca_system_score_gemma":0.002176685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281017,"about_ca_topic_score_gemma":0.02977102,"domain_scores_codex":[0.999703,0.00003006608,0.00001542822,0.00006727708,0.0001043765,0.00007981591],"domain_scores_gemma":[0.9996439,0.00005234106,0.00003873528,0.00002844017,0.0001649008,0.000071668],"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":[0.0006146663,0.0001061447,0.007429172,0.0006185657,0.00003755624,0.00104607,0.006420693,0.0001595561,0.01856767,0.1015318,0.5955364,0.2679316],"study_design_scores_gemma":[0.00000528087,0.00002181293,0.003771522,0.00003944203,0.000004068674,0.0002374029,0.001039599,0.00006281971,0.001300358,0.0008859819,0.992623,0.000008740902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05695357,0.01521717,0.003633596,0.04840677,0.008511397,0.00008697634,0.001958896,0.0008865856,0.8643451],"genre_scores_gemma":[0.07796071,0.003887587,0.001632844,0.003841475,0.0006962938,0.00003220767,0.0005346325,0.0002985695,0.9111156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1112672,"threshold_uncertainty_score":0.3722258,"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."}}