{"id":"W7027987436","doi":"","title":"Doktor Adaylarının Çok Dilli Ortamlarda Yayın Amaçlı Fransızca Kullanma Motivasyonları","year":2018,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Audience measurement; Publication; Relation (database); Citation; Norm (philosophy)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003515756,0.0004678348,0.0004719819,0.001407734,0.004083675,0.00587061,0.0009039643,0.001222185,0.04354428],"category_scores_gemma":[0.007472149,0.0002175171,0.0003623506,0.0013809,0.002164623,0.003355625,0.001914173,0.001307783,0.0109308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002844867,"about_ca_system_score_gemma":0.004699097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006106973,"about_ca_topic_score_gemma":0.009017786,"domain_scores_codex":[0.9979944,0.0006262164,0.0001711182,0.0002343716,0.000662783,0.0003111328],"domain_scores_gemma":[0.9954208,0.001221855,0.0007225989,0.000318654,0.00162066,0.0006954323],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008323558,0.00105091,0.0532212,0.0018002,0.0001546636,0.005355861,0.05906544,0.000543168,0.004907243,0.1534174,0.1418655,0.5777861],"study_design_scores_gemma":[0.00007289838,0.0003227526,0.02827449,0.0009779085,0.0001022655,0.003310641,0.04266895,0.0006333627,0.003552766,0.01153523,0.9083875,0.0001612315],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3930657,0.01663479,0.01134089,0.04444858,0.002052189,0.0003698123,0.0009319134,0.0006587385,0.5304974],"genre_scores_gemma":[0.7925783,0.009127497,0.009530101,0.002791143,0.000521537,0.0001653542,0.0005398667,0.0002519313,0.1844942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964842,"threshold_uncertainty_score":0.1456702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00627159818496814,"score_gpt":0.1962441204249858,"score_spread":0.1899725222400177,"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."}}