{"id":"W3145694212","doi":"10.22091/stim.2020.5770.1415","title":"Challenges to Creating Impact in Humanities and Social Sciences in Iran: A Grounded Theory Analysis","year":2021,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Grounded theory; Snowball sampling; Viewpoints; Qualitative research; Relevance (law); Context (archaeology); Psychology; Sociology; Public relations; Political science; Knowledge management; Social science; Medicine; Geography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008594806,0.0001718534,0.0005983543,0.001363459,0.001417091,0.001890671,0.001585149,0.0000783178,0.002580041],"category_scores_gemma":[0.0005912478,0.0001659667,0.0001402232,0.002904508,0.0002838072,0.001308836,0.0008022148,0.0004439056,0.000002130296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820486,"about_ca_system_score_gemma":0.0002069376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03189046,"about_ca_topic_score_gemma":0.08982959,"domain_scores_codex":[0.9950649,0.003086581,0.0004642188,0.0003253013,0.0006530905,0.0004059832],"domain_scores_gemma":[0.9980754,0.001230562,0.0002864386,0.0001945132,0.0001437055,0.00006936387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001049315,0.0003505661,0.7482103,0.00006717572,0.0004206727,0.0000460304,0.189921,0.0008479675,0.001010977,0.01018585,0.00027205,0.04856258],"study_design_scores_gemma":[0.0002296559,0.00001084013,0.8637283,0.0001745213,0.00007379386,7.163967e-7,0.1247088,0.00002979678,0.0000956834,0.009424849,0.001308303,0.0002146705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070125,0.01377699,0.00001603924,0.0008122412,0.00006829458,0.0001603167,0.000003619828,0.00001852575,0.07813148],"genre_scores_gemma":[0.9901903,0.00898685,0.00009049351,0.0004186087,0.00007929561,0.00002019644,0.000002550455,0.00001140513,0.0002003025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1155181,"threshold_uncertainty_score":0.9998829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5606051449118211,"score_gpt":0.6082309655404632,"score_spread":0.04762582062864207,"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."}}