{"id":"W2285098466","doi":"","title":"Smoothing the Transition to the Instructional Technology Age: A Change Model Based on Professional Development and Innovation","year":2001,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transition (genetics); Professional development; Process management; Computer science; Smoothing; Knowledge management; Psychology; Mathematics education; Business; Pedagogy; Chemistry","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"],"consensus_categories":[],"category_scores_codex":[0.0008916068,0.0001801763,0.0001300378,0.000910908,0.001691115,0.0001405425,0.0006424038,0.0003680601,0.00004724571],"category_scores_gemma":[0.0005516259,0.0001409392,0.00006208027,0.002007812,0.0006081568,0.0007186861,0.00008479157,0.0004919817,0.00002573448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725286,"about_ca_system_score_gemma":0.001319126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003384044,"about_ca_topic_score_gemma":0.00008535888,"domain_scores_codex":[0.9984831,0.00003064336,0.0004792763,0.0002534778,0.0004678409,0.000285626],"domain_scores_gemma":[0.9979967,0.00008065608,0.0003147954,0.0002507194,0.00132084,0.00003621983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002671665,0.00009037036,0.0006670809,0.000009804109,0.00004014365,2.693183e-8,0.04964928,0.0001592616,0.00004578423,0.6348358,0.00936188,0.3051139],"study_design_scores_gemma":[0.0004321096,0.00004823292,0.002913834,0.00009519505,0.00002097358,0.000005728898,0.11174,0.01113912,0.0002943917,0.03814023,0.834887,0.0002832454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3129919,0.00005329524,0.1236591,0.5535516,0.002330497,0.002276964,0.00002723387,0.0009481653,0.004161174],"genre_scores_gemma":[0.9643827,0.0000449097,0.02069286,0.007887069,0.0002344601,0.004506564,0.0001383495,0.0000110135,0.002102084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8255251,"threshold_uncertainty_score":0.9996086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06110410697557657,"score_gpt":0.3678741587946236,"score_spread":0.306770051819047,"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."}}