{"id":"W7132901500","doi":"","title":"Speech-to-text technology and education : pre-service teachers&apos; collaborative professional development as case study","year":2017,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Professional development; Work (physics); Continuing professional development; Professional studies; Information technology","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":[0.004137996,0.000417853,0.0005732983,0.001284605,0.0101104,0.004569581,0.001375839,0.002831287,0.006505563],"category_scores_gemma":[0.00645824,0.0004578902,0.0003356452,0.001493114,0.00375498,0.002153998,0.004214521,0.003064254,0.00155042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003153964,"about_ca_system_score_gemma":0.006031215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004651,"about_ca_topic_score_gemma":0.03330293,"domain_scores_codex":[0.9965752,0.001946789,0.0001132166,0.0002567362,0.0003840378,0.0007240028],"domain_scores_gemma":[0.9937443,0.00362804,0.0002227622,0.0002849462,0.0004362336,0.001683845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001475425,0.003688824,0.008105415,0.0002918215,0.000007628923,0.01244187,0.898467,0.0002741064,0.001067966,0.005551701,0.004371497,0.06558459],"study_design_scores_gemma":[0.0001052184,0.0007251098,0.009784517,0.0002963418,0.00001629462,0.004878347,0.929808,0.0005251709,0.001617649,0.001494278,0.05071665,0.00003227143],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686959,0.0003385794,0.001905942,0.001565661,0.0000526252,0.0003081769,0.00006298801,0.00003895867,0.02703124],"genre_scores_gemma":[0.9721586,0.0005895413,0.003292564,0.0002210548,0.00001566091,0.0003151651,0.00004704388,0.00003617569,0.02332419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101104,"threshold_uncertainty_score":0.02288371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07767375647922001,"score_gpt":0.5466231789557618,"score_spread":0.4689494224765418,"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."}}