{"id":"W4221154660","doi":"","title":"Meslekler Arası Ekip İş Birliğinin Değerlendirilmesi Ölçeğinin Türkçeye Uyarlanması: Geçerlilik ve Güvenilirlik Çalışması (T-AITCS-II)","year":2021,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Political science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00203252,0.0009891137,0.0008720625,0.001824168,0.0009530925,0.002563848,0.0005538825,0.0008121859,0.006981089],"category_scores_gemma":[0.004827916,0.0002242333,0.0007826396,0.00153542,0.0008695998,0.001504453,0.001353023,0.001008169,0.001537622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320571,"about_ca_system_score_gemma":0.002703257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00578074,"about_ca_topic_score_gemma":0.006762503,"domain_scores_codex":[0.9986382,0.0003522888,0.0002022166,0.0001541398,0.0004851669,0.0001679524],"domain_scores_gemma":[0.9976246,0.0004256133,0.0005962302,0.00007578951,0.001088442,0.0001894231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001279886,0.0005450537,0.3035864,0.00257021,0.0004007825,0.003125657,0.008102537,0.00167476,0.004061845,0.005949643,0.01985955,0.6488438],"study_design_scores_gemma":[0.0002162062,0.002162346,0.7690061,0.006507116,0.001277346,0.01206728,0.06242906,0.007962921,0.01120638,0.01109826,0.1156463,0.0004206265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029047,0.02903189,0.01589814,0.00540092,0.0007127179,0.0006004216,0.001895194,0.000336053,0.04321992],"genre_scores_gemma":[0.9674053,0.01253175,0.01031854,0.0005272419,0.000141703,0.0003997999,0.00175218,0.00004198492,0.006881514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006981089,"threshold_uncertainty_score":0.02335399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673378868807153,"score_gpt":0.3201519944524008,"score_spread":0.2834182057643292,"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."}}