{"id":"W6982679432","doi":"","title":"İskandinav Sineması ve Joachim Trier'in Oslo üçlemesinin incelemesi","year":2022,"lang":"tr","type":"dissertation","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Symbol (formal); Czech; Context (archaeology); Quarter (Canadian coin)","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":[0.0004579284,0.0004449433,0.0005196205,0.0006826672,0.001909723,0.002193086,0.0004327305,0.001279077,0.01987578],"category_scores_gemma":[0.0009689933,0.0002616679,0.0005735456,0.0005136208,0.00126518,0.001099434,0.0017031,0.001330165,0.002541895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466748,"about_ca_system_score_gemma":0.001648653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070796,"about_ca_topic_score_gemma":0.01753398,"domain_scores_codex":[0.9996426,0.00005270599,0.00002048094,0.00007324456,0.00009875996,0.000112144],"domain_scores_gemma":[0.999631,0.00006406111,0.0000767308,0.00002029063,0.0001043194,0.0001036021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.005298586,0.001118365,0.195924,0.003728981,0.0002859366,0.02349352,0.04846429,0.0009591719,0.1889237,0.03051083,0.05985403,0.4414386],"study_design_scores_gemma":[0.0001462692,0.001136614,0.3533185,0.001906083,0.0003847225,0.02103341,0.08263099,0.001444487,0.04259077,0.01172173,0.483486,0.0002004716],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8601093,0.01857963,0.005814447,0.0107354,0.00134997,0.0001858273,0.0008653064,0.0003454686,0.1020147],"genre_scores_gemma":[0.89633,0.007694146,0.003330966,0.001861115,0.0002752591,0.0001516969,0.0009158092,0.0001144431,0.08932659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01987578,"threshold_uncertainty_score":0.06649107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394954099128692,"score_gpt":0.2370609235565416,"score_spread":0.2031113825652547,"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."}}