{"id":"W7066621353","doi":"","title":"Investigating the Longer-term Impact of a Professional Development Program through Follow-up Interviews with College Teachers","year":2021,"lang":"en","type":"other","venue":"NSUWorks (Nova Southeastern University)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qualitative research; Professional development; Presentation (obstetrics); Grounded theory; Process (computing); Faculty development; Semi-structured interview; Continuing professional development; Qualitative property; Professional learning community","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002609291,0.0005319607,0.0006460531,0.000472714,0.0002259896,0.00007080975,0.003047952,0.0004482009,0.0001163146],"category_scores_gemma":[0.00003550531,0.0003775709,0.0002717571,0.001375783,0.0005490229,0.0001420708,0.001518945,0.000823724,0.0000198939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853576,"about_ca_system_score_gemma":0.00123129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007631224,"about_ca_topic_score_gemma":0.0004025385,"domain_scores_codex":[0.9975618,0.0002734219,0.0003485896,0.0007666929,0.0005489938,0.0005005789],"domain_scores_gemma":[0.9976064,0.00008327216,0.0008127962,0.00125664,0.0001412111,0.00009967435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002233865,0.002824395,0.03827954,0.001819496,0.006674944,0.001369775,0.2838062,0.0002964986,0.0001595435,0.0184635,0.1456551,0.5004276],"study_design_scores_gemma":[0.007222223,0.00168706,0.00763526,0.02913282,0.0004189827,0.0002470931,0.02950987,0.002582728,0.0002041196,0.0004263937,0.9164206,0.004512857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2257754,0.004032998,0.2972074,0.001351143,0.007412202,0.008491285,0.0001377127,0.008142163,0.4474497],"genre_scores_gemma":[0.1261281,0.00001364713,0.2139062,0.00007595902,0.000138626,0.00001745729,0.00004314627,0.000351049,0.6593258],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7707655,"threshold_uncertainty_score":0.9998676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548827406456786,"score_gpt":0.2778386757923375,"score_spread":0.2323504017277696,"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."}}