{"id":"W4387879769","doi":"10.46328/ijte.541","title":"Scaling up a Technology-Based Literacy Innovation: Evolution of the Teacher Professional Development Course","year":2023,"lang":"en","type":"article","venue":"International Journal of Technology in Education","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Literacy; Mathematics education; Blended learning; Professional development; Quality (philosophy); Pedagogy; Psychology; Computer science; Educational technology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008728429,0.00009126405,0.0001453872,0.003069281,0.0001357626,0.00002466958,0.0009314315,0.0003071139,0.00003207953],"category_scores_gemma":[0.001662668,0.00007556116,0.00004833367,0.004192291,0.0003823129,0.0002727728,0.000129918,0.0004028124,0.00001277978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006707512,"about_ca_system_score_gemma":0.003859673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001451374,"about_ca_topic_score_gemma":0.00003007171,"domain_scores_codex":[0.998381,0.00004050363,0.0007103208,0.0001336738,0.0005546686,0.0001798601],"domain_scores_gemma":[0.9976737,0.00006258048,0.0006872866,0.0001406711,0.001417983,0.00001775698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004328561,0.000614432,0.423261,0.000008765595,0.00005658142,0.000004488711,0.00255306,0.00004021182,0.001062646,0.2122415,0.002918344,0.3571957],"study_design_scores_gemma":[0.001597863,0.00005437545,0.4296006,0.001467205,0.00002204289,0.00006009029,0.02451529,0.0001399942,0.01601759,0.328963,0.1972155,0.0003464289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404424,0.0001964783,0.0001664233,0.05352543,0.004833428,0.0001661399,0.000001288208,0.00009103375,0.000577416],"genre_scores_gemma":[0.9967875,0.00001787298,0.001859444,0.00008671669,0.0001187021,0.00002657335,0.000006624455,0.000007233079,0.001089366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3568493,"threshold_uncertainty_score":0.6846893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489785746633916,"score_gpt":0.3704143589532941,"score_spread":0.3555165014869549,"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."}}